{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fake News Classification with LSTM and Tensorflow\n",
    "\n",
    "# [Link to my Youtube Video Explaining this whole Notebook](https://www.youtube.com/watch?v=VrJwKdls6d4&list=PLxqBkZuBynVTn2lkHNAcw6lgm1MD5QiMK&index=12)\n",
    "\n",
    "[![Imgur](https://imgur.com/jRpFi37.png)](https://www.youtube.com/watch?v=VrJwKdls6d4&list=PLxqBkZuBynVTn2lkHNAcw6lgm1MD5QiMK&index=12)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## [Link to Dataset](https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-08-21 15:44:58.218059: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n",
      "2022-08-21 15:44:58.218095: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n",
      "[nltk_data] Downloading package stopwords to /home/paul/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n",
      "[nltk_data] Downloading package wordnet to /home/paul/nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n",
      "[nltk_data] Downloading package omw-1.4 to /home/paul/nltk_data...\n",
      "[nltk_data]   Package omw-1.4 is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.express as px\n",
    "import re, string, unicodedata\n",
    "from string import punctuation\n",
    "from termcolor import colored\n",
    "from collections import Counter\n",
    "\n",
    "\n",
    "from sklearn.preprocessing import LabelBinarizer\n",
    "from sklearn.metrics import classification_report,confusion_matrix, accuracy_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "\n",
    "import keras\n",
    "import tensorflow as tf\n",
    "from keras.preprocessing import text, sequence\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense,Embedding,LSTM,Dropout\n",
    "from keras.callbacks import ReduceLROnPlateau\n",
    "from tensorflow.keras.preprocessing.text import Tokenizer\n",
    "\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "from textblob import Word\n",
    "nltk.download('stopwords')\n",
    "nltk.download('wordnet')\n",
    "nltk.download('omw-1.4')\n",
    "from nltk.stem.porter import PorterStemmer\n",
    "from wordcloud import WordCloud,STOPWORDS\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "from nltk.tokenize import word_tokenize, sent_tokenize\n",
    "from nltk import pos_tag\n",
    "from nltk.corpus import wordnet\n",
    "\n",
    "\n",
    "from warnings import filterwarnings\n",
    "filterwarnings('ignore')\n",
    "\n",
    "from sklearn import set_config\n",
    "set_config(print_changed_only = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "glove_twitter = \"../input/glove-twitter/glove.twitter.27B.100d.txt\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "true_news = pd.read_csv(\"../input/fake-and-real-news-dataset/True.csv\") \n",
    "# this folder structure works on both kaggle and local machine\n",
    "\n",
    "fake_news = pd.read_csv(\"../input/fake-and-real-news-dataset/Fake.csv\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>December 31, 2017</td>\n",
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       "      <th>3</th>\n",
       "      <td>FBI Russia probe helped by Australian diplomat...</td>\n",
       "      <td>WASHINGTON (Reuters) - Trump campaign adviser ...</td>\n",
       "      <td>politicsNews</td>\n",
       "      <td>December 30, 2017</td>\n",
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       "      <th>4</th>\n",
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       "      <td>December 29, 2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                                               title  \\\n",
       "0  As U.S. budget fight looms, Republicans flip t...   \n",
       "1  U.S. military to accept transgender recruits o...   \n",
       "2  Senior U.S. Republican senator: 'Let Mr. Muell...   \n",
       "3  FBI Russia probe helped by Australian diplomat...   \n",
       "4  Trump wants Postal Service to charge 'much mor...   \n",
       "\n",
       "                                                text       subject  \\\n",
       "0  WASHINGTON (Reuters) - The head of a conservat...  politicsNews   \n",
       "1  WASHINGTON (Reuters) - Transgender people will...  politicsNews   \n",
       "2  WASHINGTON (Reuters) - The special counsel inv...  politicsNews   \n",
       "3  WASHINGTON (Reuters) - Trump campaign adviser ...  politicsNews   \n",
       "4  SEATTLE/WASHINGTON (Reuters) - President Donal...  politicsNews   \n",
       "\n",
       "                 date  \n",
       "0  December 31, 2017   \n",
       "1  December 29, 2017   \n",
       "2  December 31, 2017   \n",
       "3  December 30, 2017   \n",
       "4  December 29, 2017   "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "true_news.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "      <th>1</th>\n",
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       "      <td>December 31, 2017</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sheriff David Clarke Becomes An Internet Joke...</td>\n",
       "      <td>On Friday, it was revealed that former Milwauk...</td>\n",
       "      <td>News</td>\n",
       "      <td>December 30, 2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Trump Is So Obsessed He Even Has Obama’s Name...</td>\n",
       "      <td>On Christmas day, Donald Trump announced that ...</td>\n",
       "      <td>News</td>\n",
       "      <td>December 29, 2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pope Francis Just Called Out Donald Trump Dur...</td>\n",
       "      <td>Pope Francis used his annual Christmas Day mes...</td>\n",
       "      <td>News</td>\n",
       "      <td>December 25, 2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               title  \\\n",
       "0   Donald Trump Sends Out Embarrassing New Year’...   \n",
       "1   Drunk Bragging Trump Staffer Started Russian ...   \n",
       "2   Sheriff David Clarke Becomes An Internet Joke...   \n",
       "3   Trump Is So Obsessed He Even Has Obama’s Name...   \n",
       "4   Pope Francis Just Called Out Donald Trump Dur...   \n",
       "\n",
       "                                                text subject  \\\n",
       "0  Donald Trump just couldn t wish all Americans ...    News   \n",
       "1  House Intelligence Committee Chairman Devin Nu...    News   \n",
       "2  On Friday, it was revealed that former Milwauk...    News   \n",
       "3  On Christmas day, Donald Trump announced that ...    News   \n",
       "4  Pope Francis used his annual Christmas Day mes...    News   \n",
       "\n",
       "                date  \n",
       "0  December 31, 2017  \n",
       "1  December 31, 2017  \n",
       "2  December 30, 2017  \n",
       "3  December 29, 2017  \n",
       "4  December 25, 2017  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fake_news.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "true_news['news_class'], fake_news['news_class'] = 1, 0\n",
    "\n",
    "news = pd.concat([true_news, fake_news])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>December 31, 2017</td>\n",
       "      <td>1</td>\n",
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       "      <th>3</th>\n",
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       "      <td>politicsNews</td>\n",
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       "      <td>1</td>\n",
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       "      <th>4</th>\n",
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       "      <td>politicsNews</td>\n",
       "      <td>December 29, 2017</td>\n",
       "      <td>1</td>\n",
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      "text/plain": [
       "                                               title  \\\n",
       "0  As U.S. budget fight looms, Republicans flip t...   \n",
       "1  U.S. military to accept transgender recruits o...   \n",
       "2  Senior U.S. Republican senator: 'Let Mr. Muell...   \n",
       "3  FBI Russia probe helped by Australian diplomat...   \n",
       "4  Trump wants Postal Service to charge 'much mor...   \n",
       "\n",
       "                                                text       subject  \\\n",
       "0  WASHINGTON (Reuters) - The head of a conservat...  politicsNews   \n",
       "1  WASHINGTON (Reuters) - Transgender people will...  politicsNews   \n",
       "2  WASHINGTON (Reuters) - The special counsel inv...  politicsNews   \n",
       "3  WASHINGTON (Reuters) - Trump campaign adviser ...  politicsNews   \n",
       "4  SEATTLE/WASHINGTON (Reuters) - President Donal...  politicsNews   \n",
       "\n",
       "                 date  news_class  \n",
       "0  December 31, 2017            1  \n",
       "1  December 29, 2017            1  \n",
       "2  December 31, 2017            1  \n",
       "3  December 30, 2017            1  \n",
       "4  December 29, 2017            1  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 44898 entries, 0 to 23480\n",
      "Data columns (total 5 columns):\n",
      " #   Column      Non-Null Count  Dtype \n",
      "---  ------      --------------  ----- \n",
      " 0   title       44898 non-null  object\n",
      " 1   text        44898 non-null  object\n",
      " 2   subject     44898 non-null  object\n",
      " 3   date        44898 non-null  object\n",
      " 4   news_class  44898 non-null  int64 \n",
      "dtypes: int64(1), object(4)\n",
      "memory usage: 2.1+ MB\n"
     ]
    }
   ],
   "source": [
    "news.info(memory_usage=True, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "209"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "news.drop_duplicates(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>text</th>\n",
       "      <th>subject</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>news_class</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>23478</td>\n",
       "      <td>23478</td>\n",
       "      <td>23478</td>\n",
       "      <td>23478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21211</td>\n",
       "      <td>21211</td>\n",
       "      <td>21211</td>\n",
       "      <td>21211</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "            title   text  subject   date\n",
       "news_class                              \n",
       "0           23478  23478    23478  23478\n",
       "1           21211  21211    21211  21211"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_by_class = news.groupby('news_class').count()\n",
    "grouped_by_class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title         0\n",
       "text          0\n",
       "subject       0\n",
       "date          0\n",
       "news_class    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "politicsNews       11220\n",
       "worldnews           9991\n",
       "News                9050\n",
       "politics            6838\n",
       "left-news           4459\n",
       "Government News     1570\n",
       "US_News              783\n",
       "Middle-east          778\n",
       "Name: subject, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news['subject'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "44689"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news['title'].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    23478\n",
       "1    21211\n",
       "Name: news_class, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "x = news['news_class'].value_counts()\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Class Freq')]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize= [ 10, 8] , clear = True, facecolor = 'white' )\n",
    "\n",
    "sns.barplot(x = news['news_class'].value_counts().index,\n",
    "            y = news['news_class'].value_counts(),\n",
    "            saturation = 1).set(title  = 'Class Freq')\n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = [15, 9], clear = True, facecolor = 'white')\n",
    "\n",
    "sns.barplot(x = news[\"subject\"].value_counts().index,\n",
    "            y = news[\"subject\"].value_counts(),\n",
    "            saturation = 1).set(title = \"Class frequencies of the dataset (true - 1, fake - 0)\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preprocessing before LSTM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "news['text'] = news['text'] + \" \" + news['title']\n",
    "\n",
    "news.drop(['title', 'date', 'subject' ], axis =1, inplace=True )\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>news_class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>WASHINGTON (Reuters) - The head of a conservat...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>WASHINGTON (Reuters) - Transgender people will...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>WASHINGTON (Reuters) - The special counsel inv...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>WASHINGTON (Reuters) - Trump campaign adviser ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SEATTLE/WASHINGTON (Reuters) - President Donal...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  news_class\n",
       "0  WASHINGTON (Reuters) - The head of a conservat...           1\n",
       "1  WASHINGTON (Reuters) - Transgender people will...           1\n",
       "2  WASHINGTON (Reuters) - The special counsel inv...           1\n",
       "3  WASHINGTON (Reuters) - Trump campaign adviser ...           1\n",
       "4  SEATTLE/WASHINGTON (Reuters) - President Donal...           1"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "news['text'] = news['text'].apply(lambda x : \" \".join(x.lower() for x in x.split() ) )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
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       "  <thead>\n",
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       "      <td id=\"T_3140a_row0_col0\" class=\"data row0 col0\" >washington reuters head conservative republican faction u congress voted month huge expansion national debt pay tax cut called fiscal conservative sunday urged budget restraint keeping sharp pivot way among republican u representative mark meadow speaking cbs face nation drew hard line federal spending lawmaker bracing battle january return holiday wednesday lawmaker begin trying pas federal budget fight likely linked issue immigration policy even november congressional election campaign approach republican seek keep control congress president donald trump republican want big budget increase military spending democrat also want proportional increase nondefense discretionary spending program support education scientific research infrastructure public health environmental protection trump administration already willing say going increase nondefense discretionary spending percent meadow chairman small influential house freedom caucus said program democrat saying thats enough need give government pay raise percent fiscal conservative dont see rationale eventually run people money said meadow among republican voted late december party debtfinanced tax overhaul expected balloon federal budget deficit add trillion year trillion national debt interesting hear mark talk fiscal responsibility democratic u representative joseph crowley said cbs crowley said republican tax bill would require united state borrow trillion paid future generation finance tax cut corporation rich one least fiscally responsible bill weve ever seen passed history house representative think going paying many many year come crowley said republican insist tax package biggest u tax overhaul year boost economy job growth house speaker paul ryan also supported tax bill recently went meadow making clear radio interview welfare entitlement reform party often call would top republican priority republican parlance entitlement program mean food stamp housing assistance medicare medicaid health insurance elderly poor disabled well program created washington assist needy democrat seized ryans early december remark saying showed republican would try pay tax overhaul seeking spending cut social program goal house republican may take back seat senate vote democrat needed approve budget prevent government shutdown democrat use leverage senate republican narrowly control defend discretionary nondefense program social spending tackling issue dreamer people brought illegally country child trump september put march expiration date deferred action childhood arrival daca program protects young immigrant deportation provides work permit president said recent twitter message want funding proposed mexican border wall immigration law change exchange agreeing help dreamer representative debbie dingell told cbs favor linking issue policy objective wall funding need daca clean said wednesday trump aide meet congressional leader discus issue followed weekend strategy session trump republican leader jan white house said trump also scheduled meet sunday florida republican governor rick scott want emergency aid house passed billion aid package hurricane florida texas puerto rico wildfire california package far exceeded billion requested trump administration senate yet voted aid u budget fight loom republican flip fiscal script</td>\n",
       "      <td id=\"T_3140a_row0_col1\" class=\"data row0 col1\" >1</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_3140a_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_3140a_row1_col0\" class=\"data row1 col0\" >washington reuters transgender people allowed first time enlist u military starting monday ordered federal court pentagon said friday president donald trump administration decided appeal ruling blocked transgender ban two federal appeal court one washington one virginia last week rejected administration request put hold order lower court judge requiring military begin accepting transgender recruit jan justice department official said administration challenge ruling department defense announced releasing independent study issue coming week rather litigate interim appeal occurs administration decided wait dod study continue defend president lawful authority district court meantime official said speaking condition anonymity september pentagon said created panel senior official study implement directive trump prohibit transgender individual serving defense department feb submit plan trump lawyer representing currentlyserving transgender service member aspiring recruit said expected administration appeal ruling conservativemajority supreme court hoping would happen pentagon spokeswoman heather babb said statement mandated court order department defense prepared begin accessing transgender applicant military service jan applicant must meet accession standard jennifer levi lawyer gay lesbian transgender advocacy group glad called decision appeal great news im hoping mean government come see way justify ban good military country levi said glad american civil liberty union represent plaintiff lawsuit filed administration move appealed hardline conservative supporter trump announced july would prohibit transgender people serving military reversing democratic president barack obamas policy accepting trump said twitter time military cannot burdened tremendous medical cost disruption transgender military would entail four federal judge baltimore washington dc seattle riverside california issued ruling blocking trump ban legal challenge republican president policy proceed judge said ban would likely violate right u constitution equal protection law pentagon dec issued guideline recruitment personnel order enlist transgender applicant jan memo outlined medical requirement specified applicant sex would identified even undergarment would wear trump administration previously said legal paper armed force prepared train thousand personnel medical standard needed process transgender applicant might accept individual medically fit service obama administration set deadline july begin accepting transgender recruit trump defense secretary james mattis postponed date jan president ban put indefinitely trump taken step aimed rolling back transgender right october administration said federal law banning genderbased workplace discrimination protect transgender employee reversing another obamaera position february trump rescinded guidance issued obama administration saying public school allow transgender student use restroom corresponds gender identity u military accept transgender recruit monday pentagon</td>\n",
       "      <td id=\"T_3140a_row1_col1\" class=\"data row1 col1\" >1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3140a_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_3140a_row2_col0\" class=\"data row2 col0\" >washington reuters special counsel investigation link russia president trump election campaign continue without interference despite call trump administration ally republican lawmaker shut prominent republican senator said sunday lindsey graham serf senate armed force judiciary committee said department justice special counsel robert mueller need carry russia investigation without political interference investigation go forward investigation conducted without political influence graham said cbss face nation news program need let mr mueller job think he right guy right time question russia may interfered election trump campaign may link coordinated effort loomed white house since trump took office january show sign receding trump prepares second year power despite intensified rhetoric trump ally recent week accusing muellers team bias republican president trump seemed undercut supporter interview last week new york time said expected mueller going fair russia role election question possible link trump campaign focus multiple inquiry washington three committee senate house representative investigating well mueller whose team may took earlier probe launched u federal bureau investigation fbi several member trump campaign administration convicted indicted investigation trump ally deny collusion russia campaign kremlin denied meddling election graham said still want examination fbi use dossier link trump russia compiled former british spy christopher steele prompted trump ally republican question muellers inquiry saturday new york time reported dossier triggered early fbi probe tip former trump campaign foreign policy adviser george papadopoulos australian diplomat russia damaging information former trump rival hillary clinton want somebody look way department justice used dossier bother greatly way used want somebody look graham said said russia investigation must continue matter fact would hurt u ignored said senior u republican senator let mr mueller job</td>\n",
       "      <td id=\"T_3140a_row2_col1\" class=\"data row2 col1\" >1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3140a_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_3140a_row3_col0\" class=\"data row3 col0\" >washington reuters trump campaign adviser george papadopoulos told australian diplomat may russia political dirt democratic presidential candidate hillary clinton new york time reported saturday conversation papadopoulos diplomat alexander downer london driving factor behind fbi decision open counterintelligence investigation moscow contact trump campaign time reported two month meeting australian official passed information came papadopoulos american counterpart leaked democratic email began appearing online according newspaper cited four current former u foreign official besides information australian probe federal bureau investigation also propelled intelligence friendly government including british dutch time said papadopoulos chicagobased international energy lawyer pleaded guilty oct lying fbi agent contact people claimed tie top russian official first criminal charge alleging link trump campaign russia white house played former aide campaign role saying extremely limited action took would new york time however reported papadopoulos helped set meeting thencandidate donald trump egyptian president abdel fattah alsisi edited outline trump first major foreign policy speech april federal investigation led special counsel robert mueller hung trump white house since took office almost year ago trump ally recently accused muellers team biased republican president lawyer papadopoulos immediately respond request reuters comment muellers office declined comment trump white house attorney ty cobb declined comment new york time report respect special counsel process commenting matter said statement mueller charged four trump associate including papadopoulos investigation russia denied interfering u election trump said collusion campaign moscow fbi russia probe helped australian diplomat tipoff nyt</td>\n",
       "      <td id=\"T_3140a_row3_col1\" class=\"data row3 col1\" >1</td>\n",
       "    </tr>\n",
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       "      <th id=\"T_3140a_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_3140a_row4_col0\" class=\"data row4 col0\" >seattlewashington reuters president donald trump called u postal service friday charge much ship package amazon amzno picking another fight online retail giant criticized past united state post office losing many billion dollar year charging amazon others little deliver package making amazon richer post office dumber poorer charging much trump wrote twitter president tweet drew fresh attention fragile finance postal service time ten million parcel shipped country holiday season u postal service run big loss independent agency within federal government receive tax dollar operating expense according website package delivery become increasingly important part business internet led sharp decline amount firstclass letter president determine postal rate set postal regulatory commission independent government agency commissioner selected president political party panel raised price package almost percent november amazon founded jeff bezos remains chief executive officer retail company richest person world according bloomberg news bezos also owns washington post newspaper trump repeatedly railed criticism news medium tweet past year trump said amazon washington post fabricated story said amazon pay sale tax true hurt retailer part pattern former businessman reality television host periodically turning ire big american company since took office january daniel ives research analyst gbh insight said trump comment could taken warning retail giant however said concerned amazon see price hike future however risk amazon clearly aware building distribution system aggressively said amazon shown interest past shifting delivery service including testing drone delivery company spent billion shipping percent total operating expense year amazon share percent early afternoon overall u stock price slightly friday satish jindel president shipmatrix inc analyzes shipping data disputed idea postal service charge le united parcel service inc upsn fedex corp fdxn biggest player parcel delivery business united state many customer get lower rate ups fedex would get post office comparable service said postal service delivers percent amazon package million day current peak yearend holiday shipping season jindel said seattlebased company post office agreement mail carrier take amazon package last leg journey post office customer doorstep amazon carrier ups percent fedex third percent according jindel trump comment tapped debate whether postal service pricing kept pace rise ecommerce flooded mail small packagesprivate company like ups long claimed current system unfairly undercut business steve gaut spokesman ups noted company value productive relationship postal service filed postal regulatory commission concern postal service method covering cost representative amazon white house u postal service fedex declined comment immediately available comment trump tweet according annual report postal service lost billion year deficit ballooned billion postal service revenue first class mail marketing mail periodical flat declining revenue package delivery percent since billion fiscal year ended sept also lost billion revenue temporary surcharge expired april according government accountability office report february service facing growing personnel expense particularly billion unfunded pension benefit liability postal service announced plan cut cost law postal service set price package delivery cover cost attributable service postal service allocates percent total cost business shipping package even though line business percent total revenue trump want postal service charge much amazon shipment</td>\n",
       "      <td id=\"T_3140a_row4_col1\" class=\"data row4 col1\" >1</td>\n",
       "    </tr>\n",
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       "      <th id=\"T_3140a_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "      <td id=\"T_3140a_row5_col0\" class=\"data row5 col0\" >west palm beach flawashington reuters white house said friday set kick talk next week republican democratic congressional leader immigration policy government spending issue need wrapped early new year expected flurry legislative activity come republican democrat begin set stage midterm congressional election november president donald trump republican party eager maintain control congress democrat look opening wrest seat away senate house representative wednesday trump budget chief mick mulvaney legislative affair director marc short meet senate majority leader mitch mcconnell house speaker paul ryan republican democratic counterpart senator chuck schumer representative nancy pelosi white house said followed weekend strategy session trump mcconnell ryan jan camp david presidential retreat maryland according white house senate return work jan house jan congress passed shortterm government funding bill last week taking christmas break need come agreement defense spending various domestic program jan government shut also agenda lawmaker disaster aid people hit hurricane puerto rico texas florida wildfire california house passed billion package december senate take white house asked smaller figure billion deadline also loom soontoexpire protection young adult immigrant entered country illegally child known dreamer september trump ended democratic former president barack obamas deferred action childhood arrival daca program protected dreamer deportation provided work permit effective march giving congress devise longterm solution democrat republican number large company pushed daca protection continue trump republican said happen without congress approving broader immigration policy change tougher border security democrat oppose funding wall promised trump along usmexican border democrat told fully understand daca without desperately needed wall southern border end horrible chain migration ridiculous lottery system immigration etc trump said twitter post friday trump want overhaul immigration rule extended family others seeking live united state republican u senator jeff flake frequent critic president said would work trump protect dreamer fix daca way beef border security stop chain migration dreamer address unfairness diversity lottery potus trump want protect kid want help keep promise flake wrote twitter congress early also must raise u debt ceiling avoid government default u treasury would exhaust borrowing option run dry cash pay bill late march early april congress raise debt ceiling according nonpartisan congressional budget office trump first major legislative victory passage major tax overhaul month also promised major infrastructure plan white house congress prepare talk spending immigration</td>\n",
       "      <td id=\"T_3140a_row5_col1\" class=\"data row5 col1\" >1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3140a_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "      <td id=\"T_3140a_row6_col0\" class=\"data row6 col0\" >west palm beach fla reuters president donald trump said thursday belief fairly treated special counsel investigation russian meddling u presidential election said know long probe would last federal investigation hung trump white house since took office almost year ago trump ally recent week accused team justice department special counsel robert mueller biased republican president interview new york time trump appeared shrug concern investigation prompted u intelligence agency conclusion russia tried help trump defeat democrat hillary clinton hacking releasing embarrassing email disseminating propaganda there collusion think he going fair trump said time described minute impromptu interview golf club west palm beach florida mueller charged four trump associate investigation russia denied interfering u election u deputy attorney general rod rosenstein said month aware impropriety muellers team trump lawyer saying week expected mueller investigation wrap quickly possibly end mueller commented long last trump told time know long investigation would take timingwise cant tell dont know said trump said thought prolonged probe make country look bad said energized core supporter done really angered base made base stronger base strong ever said interview rare break trump christmas vacation florida golfed day aside christmas day mainly kept low profile apart occasional flurry tweet spent one day golfing republican senator david perdue georgia pushed legislation cap immigration number dinner thursday commerce secretary wilbur ross international trade hawk trump told time hoped work democrat u congress spending plan fix road infrastructure protection group undocumented immigrant brought united state child trump spoke trade issue saying backed hard line chinese trade practice hope beijing would pressure north korea end nuclear missile testing program said disappointed result also complained north american free trade agreement nafta administration attempting renegotiate talk mexico canada trump said canadian prime minister justin trudeau played importance canadian oil lumber export united state looking balance trade two country dont make right deal ill terminate nafta two second pretty good trump said trump say russia probe fair timeline unclear nyt</td>\n",
       "      <td id=\"T_3140a_row6_col1\" class=\"data row6 col1\" >1</td>\n",
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       "      <th id=\"T_3140a_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "      <td id=\"T_3140a_row7_col0\" class=\"data row7 col0\" >following statement posted verified twitter account u president donald trump realdonaldtrump potus opinion expressed reuters edited statement confirmed accuracy realdonaldtrump fake news love talk socalled low approval rating foxandfriends showed rating dec approximately president obama dec despite massive negative trump coverage russia hoax est united state post office losing many billion dollar year charging amazon others little deliver package making amazon richer post office dumber poorer charging much est source link bitlyjbhlu bitlyjpexyr factbox trump twitter dec approval rating amazon</td>\n",
       "      <td id=\"T_3140a_row7_col1\" class=\"data row7 col1\" >1</td>\n",
       "    </tr>\n",
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       "      <th id=\"T_3140a_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "      <td id=\"T_3140a_row8_col0\" class=\"data row8 col0\" >following statement posted verified twitter account u president donald trump realdonaldtrump potus opinion expressed reuters edited statement confirmed accuracy realdonaldtrump together making america great bitlylnpkaq est east could coldest new year eve record perhaps could use little bit good old global warming country country going pay trillion dollar protect bundle est source link bitlyjbhlu bitlyjpexyr trump twitter dec global warming</td>\n",
       "      <td id=\"T_3140a_row8_col1\" class=\"data row8 col1\" >1</td>\n",
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       "      <th id=\"T_3140a_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "      <td id=\"T_3140a_row9_col0\" class=\"data row9 col0\" >washington reuters alabama secretary state john merrill said certify democratic senatorelect doug jones winner thursday despite opponent roy moore challenge phone call cnn moore conservative faced allegation groping teenage girl filed court challenge late wednesday outcome u senate election unexpectedly lost alabama official certify senatorelect jones today despite challenge cnn</td>\n",
       "      <td id=\"T_3140a_row9_col1\" class=\"data row9 col1\" >1</td>\n",
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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fix, ax = plt.subplots(figsize = (12, 8))\n",
    "\n",
    "text_words = news[news['news_class'] == 1 ]['text'].str.split().apply(lambda x : [len(i) for i in x])\n",
    "\n",
    "sns.distplot(text_words.map(lambda x : np.mean(x)), color = 'blue', ax = ax ).set_title('Distribution of Text length for True News')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of Text length for Fake News')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fix, ax = plt.subplots(figsize = (12, 8))\n",
    "\n",
    "text_words = news[news['news_class'] == 0 ]['text'].str.split().apply(lambda x : [len(i) for i in x])\n",
    "\n",
    "sns.distplot(text_words.map(lambda x : np.mean(x)), color = 'red', ax = ax ).set_title('Distribution of Text length for Fake News')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data preparation for LSTM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = news['text']\n",
    "\n",
    "y = news['news_class']\n",
    "\n",
    "train_x, test_x, train_y, test_y = train_test_split(x, y, test_size=0.25, shuffle = True, random_state=11 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(33516,) (11173,)\n"
     ]
    }
   ],
   "source": [
    "print(train_x.shape, test_x.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer = Tokenizer(num_words = 10000)\n",
    "\n",
    "tokenizer.fit_on_texts(train_x)\n",
    "\n",
    "\n",
    "tokenized_train = tokenizer.texts_to_sequences(train_x)\n",
    "\n",
    "tokenized_train = tokenizer.texts_to_sequences(test_x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`word_index[\"the\"] = 1; word_index[\"cat\"] = 2`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'<user>': array([ 0.63006  ,  0.65177  ,  0.25545  ,  0.018593 ,  0.043094 ,\n",
       "         0.047194 ,  0.23218  ,  0.11613  ,  0.17371  ,  0.40487  ,\n",
       "         0.022524 , -0.076731 , -2.2911   ,  0.094127 ,  0.43293  ,\n",
       "         0.041801 ,  0.063175 , -0.64486  , -0.43657  ,  0.024114 ,\n",
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       "         0.010669 ,  0.15234  , -0.20056  ,  0.27297  , -0.15433  ],\n",
       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -8.2815e-02,  2.3637e-01, -8.2565e-02,  3.0448e-01, -5.9252e-01,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         4.2814e-01, -9.7108e-01,  7.5670e-01, -2.8024e-02,  5.9043e-01,\n",
       "        -2.5249e-01, -1.4199e-01,  3.4776e-01,  8.7260e-02,  1.6208e-01,\n",
       "        -1.3040e-01,  2.7808e-02, -2.5873e-01, -1.1011e-02,  1.3697e-01,\n",
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       "        -5.4090e-01,  3.1872e-01, -3.6860e-01,  4.6780e-03,  4.5205e-01,\n",
       "         4.4172e-01,  3.5350e-01, -8.2819e-01,  3.2221e-01,  7.2283e-01,\n",
       "         7.4891e-01,  3.5870e-01, -2.9725e-01,  3.9902e-02, -1.4895e-01,\n",
       "        -1.0915e+00,  5.3089e-01,  3.6266e-02, -7.1258e-01, -5.5899e-01,\n",
       "         1.0474e-01,  1.8477e-01,  4.7999e-01,  2.7531e-01,  5.0398e-01],\n",
       "       dtype=float32),\n",
       " \"n't\": array([-2.2362e-01,  4.7952e-01,  3.1593e-01,  3.6456e-01, -4.2204e-01,\n",
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       "        -1.5029e-01,  3.2653e-01, -1.6628e-01, -1.1487e-01,  2.4406e-01,\n",
       "        -3.0006e-01, -2.6090e-01,  3.4136e-02, -1.2092e-01,  6.2670e-01,\n",
       "         4.8940e-01,  2.5285e-01,  1.1523e-01, -5.2650e-01, -1.1658e-01,\n",
       "        -3.9745e-01,  1.7532e-02, -8.7387e-02, -5.7719e-01,  6.0659e-02,\n",
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       "        -6.8548e-01,  3.2623e-01, -3.0892e-02, -9.3981e-02, -3.3495e-01,\n",
       "        -1.8141e-02, -7.2898e-02,  7.4210e-02,  1.7420e-01,  1.5689e-01],\n",
       "       dtype=float32),\n",
       " 'that': array([ 0.41066  ,  0.26753  ,  0.30509  ,  0.4654   , -0.23877  ,\n",
       "         0.17962  , -0.070004 , -0.27799  ,  0.32023  ,  0.337    ,\n",
       "         0.0078812,  0.086054 , -6.5254   , -0.12931  ,  0.56519  ,\n",
       "        -0.25713  ,  0.10344  , -0.0106   , -0.38371  , -0.092944 ,\n",
       "        -0.053793 ,  0.19003  , -0.04641  ,  0.097207 ,  0.081215 ,\n",
       "         0.12832  , -0.021368 ,  0.16536  ,  0.064541 , -0.31705  ,\n",
       "        -0.28496  ,  0.1425   , -0.24149  ,  0.19771  , -0.46031  ,\n",
       "         0.34816  , -0.31485  ,  0.084161 ,  0.26414  , -0.48913  ,\n",
       "        -0.58229  , -0.080738 ,  0.15313  , -0.062352 ,  0.48894  ,\n",
       "        -0.19099  ,  0.10393  ,  0.15788  ,  0.082094 , -0.065226 ,\n",
       "        -0.16364  ,  0.30095  , -0.073161 ,  0.029139 ,  0.28377  ,\n",
       "         0.37553  , -0.53242  ,  0.022003 ,  0.010909 ,  0.3013   ,\n",
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       "        -0.15662  ,  0.033067 ,  0.065706 , -0.1432   ,  0.26153  ,\n",
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       "         0.037975 ,  0.46056  , -0.14524  , -0.20275  , -0.46676  ,\n",
       "        -0.074283 ,  0.076173 , -0.43062  ,  0.36016  ,  0.17545  ],\n",
       "       dtype=float32),\n",
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       "         3.8201e-01,  3.2209e-01, -5.4323e+00,  5.5865e-02, -2.0443e-01,\n",
       "        -1.6082e-01, -3.6628e-01,  9.1834e-02, -4.2965e-01,  2.7102e-01,\n",
       "        -2.9405e-01, -3.1090e-01,  1.4524e-01, -1.3393e-01, -1.4183e-01,\n",
       "        -7.7233e-01, -4.6436e-01,  3.7596e-03,  3.4311e-01,  6.0536e-01,\n",
       "        -1.7881e-01,  8.6789e-02, -9.7410e-01, -3.8900e-01,  8.7719e-01,\n",
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       "        -1.1758e+00, -4.0923e-01, -1.6537e-01,  7.4250e-01, -3.5134e-01,\n",
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       "         1.4833e-01, -2.1194e-01, -3.1713e-01,  5.6511e-01,  2.7619e-01,\n",
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       "         5.6837e-02, -3.9874e-01,  1.6607e-01, -4.0003e-01, -3.4068e-01,\n",
       "         1.2416e-01,  9.4692e-01, -1.2060e-01, -2.6859e-01, -6.7317e-01,\n",
       "         8.7749e-01,  1.5883e-01,  8.5353e-02,  5.7665e-01,  3.7343e-01,\n",
       "         1.5172e+00,  2.0155e-01,  2.7850e-01,  4.6602e-02, -3.5008e-01,\n",
       "         3.5081e-01,  1.9299e-02,  3.4231e-01,  1.5384e-01, -4.5176e-01,\n",
       "        -6.1364e-01, -7.9519e-02, -1.6234e-01, -3.6186e-01, -5.8079e-02,\n",
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       "       dtype=float32),\n",
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       "         3.5326e-01,  3.1442e-01, -2.5382e+00, -3.3560e-02, -9.3408e-03,\n",
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       "        -1.6825e-01, -3.1510e-01,  1.6539e-01,  6.3007e-02, -7.8507e-01,\n",
       "         2.4827e-03,  8.0636e-01, -1.3860e-01, -7.0674e-01, -8.3766e-02,\n",
       "         5.1755e-01, -2.9257e-01,  1.3127e-01,  2.5876e-01, -6.1202e-01,\n",
       "        -1.5147e-01, -1.3052e-01, -5.7377e-01, -5.8360e-01,  7.0978e-01,\n",
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       "       dtype=float32),\n",
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       "         2.1694e-01,  1.9531e-01, -2.5949e+00,  5.3335e-01, -5.0094e-01,\n",
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       "        -2.5656e-01, -8.0496e-03, -8.1949e-01, -4.3136e-01,  2.7485e-01,\n",
       "         2.5034e-01,  4.6081e-01, -8.0839e-01,  1.6375e-01, -1.9757e-01,\n",
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       "        -5.9146e-02,  1.7844e-01, -6.6008e-01,  3.7219e-01, -5.1980e-01],\n",
       "       dtype=float32),\n",
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       "        -0.16713  ,  0.26293  , -0.23698  , -0.8975   , -0.044053 ,\n",
       "        -2.642    , -0.0093464, -0.013242 , -0.76818  , -1.2445   ,\n",
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       "         5.2809e-01, -1.2159e-01,  6.4251e-01,  9.0922e-01,  1.2041e-01,\n",
       "        -6.6353e-01, -1.0284e-01,  6.9275e-01,  1.4317e-01, -3.5477e-01,\n",
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       "        -7.5327e-01, -2.8842e-01,  5.1628e-01,  1.1603e-01, -1.4170e-01],\n",
       "       dtype=float32),\n",
       " 'u': array([ 9.8591e-02,  3.0472e-01,  4.8260e-01,  5.3389e-03, -3.0726e-01,\n",
       "         5.4119e-01,  2.2874e-01,  8.8139e-03,  1.5747e-02,  8.8518e-01,\n",
       "        -2.4148e-01, -3.7122e-01, -3.8038e+00,  5.7074e-01,  4.1276e-02,\n",
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       "       dtype=float32),\n",
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       "         5.5261e-01,  8.7962e-02, -5.4690e-02,  2.3104e-01,  1.0571e+00,\n",
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       "        -6.1523e-01,  4.3081e-01, -2.3963e-01,  1.0391e+00, -2.5736e-01],\n",
       "       dtype=float32),\n",
       " '♡': array([-2.9374e-01,  5.3400e-01, -4.3457e-02,  1.2544e+00, -9.1206e-02,\n",
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       "        -2.7484e+00, -1.5317e-02,  8.3189e-01, -5.9938e-01,  1.4829e+00,\n",
       "         8.5056e-01,  2.2699e-01,  8.4737e-01,  8.4655e-01,  8.8857e-01,\n",
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       "        -2.1065e-01, -7.4230e-01, -2.7516e-02, -1.0003e+00, -8.6786e-01,\n",
       "         2.7626e-01, -5.3786e-01, -1.8560e-01, -2.0517e-01, -3.2519e-01,\n",
       "         1.7297e-01,  6.4186e-02,  1.3171e+00, -5.8767e-01,  1.9275e-01,\n",
       "         1.2866e+00,  8.4967e-01, -3.8217e-01,  2.7311e-01, -1.7472e-01,\n",
       "        -1.6036e-01, -2.8183e-01, -8.5128e-01,  4.1085e-01, -2.2487e-01],\n",
       "       dtype=float32),\n",
       " '´': array([ 5.1571e-01,  4.7901e-01,  3.8428e-01,  9.7421e-01, -1.9118e-01,\n",
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       "        -1.6761e+00, -2.4972e-01,  2.6989e-01,  2.6010e-01, -5.3683e-01,\n",
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       "        -5.5975e-01,  4.3583e-01, -2.8267e-01, -6.4042e-01,  1.5790e+00,\n",
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       "        -6.6841e-01,  1.2500e-01, -6.4162e-01, -4.2228e-01,  9.2128e-01,\n",
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       "        -3.4056e-01, -2.1873e-01, -6.2320e-01, -7.0453e-01, -7.7916e-01,\n",
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       "        -3.1343e-01, -2.9355e-01,  4.7440e-01, -5.7421e-01,  2.5409e-01,\n",
       "        -7.7292e-01,  5.0860e-01, -1.6740e-01, -3.5171e-01, -5.3147e-02,\n",
       "        -6.6503e-01,  5.6218e-02,  4.5389e-02, -7.9791e-02, -7.4104e-01],\n",
       "       dtype=float32),\n",
       " 'he': array([ 6.1780e-01,  5.2346e-01,  4.8445e-01,  4.0129e-01, -1.2659e-01,\n",
       "         5.0962e-01, -7.4541e-01,  2.1310e-02,  2.5553e-01,  1.7352e-01,\n",
       "         6.2329e-01,  2.3560e-01, -4.6179e+00,  3.0579e-01,  4.7829e-01,\n",
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       "        -8.6665e-02, -3.9290e-01,  5.3472e-01, -3.2978e-01,  2.8736e-01,\n",
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       "       dtype=float32),\n",
       " 'con': array([-5.3588e-01,  8.5083e-02, -3.5116e-02, -5.8783e-02,  4.2464e-01,\n",
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       "        -3.0159e-01, -1.1655e-01, -1.8128e+00,  1.4308e-01,  8.8283e-02,\n",
       "        -4.9779e-01, -3.3249e-01,  2.8061e-01,  9.1270e-02,  1.9268e-01,\n",
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       "       dtype=float32),\n",
       " 'they': array([ 1.7412e-01,  4.5136e-01, -5.5128e-02,  9.4169e-02, -2.6209e-01,\n",
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       "        -7.8600e-02, -3.0398e-01, -3.4443e-01,  4.4432e-01,  4.9693e-01],\n",
       "       dtype=float32),\n",
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       "         2.9811e-01, -1.0215e-01,  3.4606e-01,  2.4691e-01, -2.7822e-01],\n",
       "       dtype=float32),\n",
       " 'go': array([-1.5780e-01,  4.2632e-01,  3.6328e-01, -5.0215e-01,  2.0830e-02,\n",
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       "        -2.5543e-02,  9.6698e-02, -1.0112e-01,  2.7941e-01,  5.0813e-01,\n",
       "         5.0899e-01,  3.2202e-01, -3.4812e-01,  5.5787e-01,  9.3483e-01,\n",
       "        -7.5861e-01,  1.5875e-03, -3.2801e-01, -2.9363e-01,  5.3360e-01,\n",
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       "        -2.7686e-01, -2.3839e-01,  5.9092e-02,  1.7989e-01,  3.6655e-01,\n",
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       "        -4.7953e-01, -5.7696e-01,  1.3031e-01, -4.5968e-01,  3.8020e-01,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -0.052775, -0.11069 ,  1.3091  , -0.013437], dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -0.54465  , -0.054755 ,  0.26591  ,  0.13504  , -0.1454   ,\n",
       "        -0.7022   ,  0.82814  ,  0.37868  , -1.0936   ,  0.44882  ],\n",
       "       dtype=float32),\n",
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       "        -4.5898e-02,  6.0552e-01,  1.7667e-01,  2.1549e-01, -1.2631e-01,\n",
       "        -2.5167e-01,  1.0793e-01,  4.2844e-02, -7.5777e-01,  3.5092e-01,\n",
       "         1.3571e+00,  5.3865e-01, -1.6377e-01,  1.8198e-02,  2.7365e-01,\n",
       "        -7.3972e-02,  6.7281e-02, -7.3042e-03, -5.9052e-01, -2.4395e-01,\n",
       "        -1.1266e-01, -6.9919e-02, -3.1482e-01,  1.1808e-01,  8.6087e-02,\n",
       "        -5.1084e-01, -2.6733e-01,  1.7856e-01, -5.0295e-02, -4.5238e-01],\n",
       "       dtype=float32),\n",
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       "        -1.8481e-01,  1.0196e-01, -4.9936e+00, -2.0487e-01,  1.2955e-01,\n",
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       "         6.8062e-01,  1.6792e-01,  1.9719e-01,  1.9223e-01, -1.4162e-01,\n",
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       "        -3.9885e-01,  3.4042e-01, -2.5770e-01, -9.8942e-02,  8.0852e-01,\n",
       "        -4.0390e-01,  3.4044e-01, -1.2297e-01, -2.4331e-01,  4.5944e-01,\n",
       "         2.6578e-01,  7.1744e-02,  2.2325e-01,  3.8579e-01,  2.0399e-02,\n",
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       "         2.7570e-02,  2.6787e-01,  3.5085e-01,  2.1497e-01,  2.3555e-02,\n",
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       "         1.5969e+00,  5.1849e-01,  1.9220e-01,  4.1672e-01,  7.5535e-01,\n",
       "         1.8930e-03,  1.9313e-01, -5.0472e-01, -3.1587e-01,  1.6018e-01,\n",
       "        -4.0414e-01,  7.2585e-03, -1.8391e-01, -7.4274e-02, -3.7638e-01,\n",
       "        -5.5106e-01,  3.4835e-01,  4.4394e-01,  2.7914e-01, -2.7468e-01],\n",
       "       dtype=float32),\n",
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       "         4.3991e-02, -2.2664e-01, -5.4972e+00,  2.0337e-01, -6.1164e-01,\n",
       "        -4.8009e-01, -3.0537e-01, -1.4700e-02, -9.2101e-02, -1.0474e-01,\n",
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       "         2.8600e-01,  1.8943e-01,  1.4515e-02,  3.0914e-01, -4.7392e-01,\n",
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       "        -6.2188e-01,  9.8408e-02, -5.6180e-02,  1.4042e-01,  3.4836e-02,\n",
       "        -8.8733e-02,  2.7811e-01,  1.8530e-01,  3.9058e-01,  2.0118e-01,\n",
       "         1.0398e-01, -6.8605e-02,  4.7910e-01, -1.9925e-02, -8.4826e-02,\n",
       "        -1.0946e-01,  3.5832e-01, -3.9280e-01, -3.4879e-01,  3.9091e-01,\n",
       "        -3.5546e-01, -2.1007e-01, -7.1141e-02, -3.1188e-01,  2.8251e-01,\n",
       "         9.4737e-02,  2.9624e-03,  4.5069e-01, -2.8257e-01, -4.9059e-02,\n",
       "        -6.5204e-01, -3.9332e-01, -2.0912e-01, -5.9470e-01, -3.1543e-02,\n",
       "         2.5668e+00,  3.4422e-01, -3.4891e-01, -9.2007e-02,  2.6685e-01,\n",
       "         5.5012e-02, -7.1309e-02, -3.1331e-01, -7.0896e-01,  1.3831e-02,\n",
       "        -1.2407e-01,  5.0302e-02,  1.3317e-01, -8.5108e-02, -2.0620e-01,\n",
       "        -6.7736e-01, -2.4788e-01,  7.7628e-02,  9.2332e-02, -3.0813e-01],\n",
       "       dtype=float32),\n",
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       "        -0.087153 , -0.24769  ,  0.65361  , -0.64055  ,  0.95313  ,\n",
       "        -0.13815  ,  0.28902  , -1.1344   , -0.28659  , -1.0808   ,\n",
       "        -0.42393  ,  0.21668  ,  0.01609  ,  0.17506  ,  0.53534  ,\n",
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       "         0.43647  , -0.015931 , -0.061364 ,  0.32838  ,  0.18361  ,\n",
       "        -1.5656   ,  0.20066  , -0.052238 ,  0.64318  , -0.020153 ,\n",
       "         1.1707   , -1.3882   , -0.93449  , -0.30755  , -0.25215  ,\n",
       "        -1.1224   , -0.56361  , -0.60809  , -0.34397  ,  1.4161   ,\n",
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       "        -1.3825   , -1.2555   ,  0.29118  ,  0.17396  , -1.5393   ,\n",
       "        -0.69162  , -0.84514  , -1.0079   , -0.6698   ,  1.0676   ,\n",
       "         1.1493   ,  0.25957  , -0.60281  , -0.16849  , -0.07273  ,\n",
       "         0.0057315,  0.056139 ,  0.26036  , -0.2392   , -1.8063   ,\n",
       "         0.2911   , -0.6832   ,  0.24862  ,  0.74254  ,  0.040167 ,\n",
       "        -0.56745  , -0.64891  ,  0.31701  , -0.20727  ,  0.43578  ,\n",
       "        -0.24894  ,  0.68214  , -0.16433  , -0.17904  , -0.075037 ,\n",
       "        -0.22565  ,  0.23024  , -0.34074  , -0.27222  , -0.71073  ],\n",
       "       dtype=float32),\n",
       " '%': array([ 1.3563e-01, -6.0280e-01,  6.2361e-01, -1.5944e-01,  1.2043e-01,\n",
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       "         3.9271e-01, -1.5305e-02, -2.2757e+00,  1.0276e-01, -7.6427e-01,\n",
       "         4.4934e-01, -1.6506e-01,  8.4651e-02,  3.0985e-01, -1.1109e+00,\n",
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       "        -1.3822e+00,  1.2239e-01, -2.2794e-01,  1.0367e+00,  2.5459e-01,\n",
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       "        -2.0655e-01, -5.6355e-01,  1.5069e-01,  2.9825e-01, -3.2194e-01,\n",
       "        -1.6271e+00, -1.2990e-01, -5.7466e-01, -5.0825e-01,  6.1354e-01,\n",
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       "        -1.1429e+00, -1.9634e-01,  3.0488e-01,  7.8870e-01,  9.7210e-01,\n",
       "         8.0167e-01,  1.1334e-01,  7.0738e-01,  2.6101e-01, -1.0043e-01,\n",
       "         2.0068e-01, -1.6558e-01,  2.4990e-01,  2.2321e-01,  6.5803e-03,\n",
       "        -1.6450e-03, -7.0576e-01, -2.4521e-01,  6.9380e-01, -3.1097e-02,\n",
       "         7.4675e-01, -1.9711e-01,  2.8026e-01, -1.6216e-01,  4.7366e-02,\n",
       "        -1.6842e-01, -3.2872e-01,  4.4354e-01, -4.1487e-01,  5.3846e-01,\n",
       "        -1.0699e+00, -3.1445e-01,  6.4901e-01,  1.3238e-01,  2.7827e-01,\n",
       "        -8.7068e-01, -1.1328e-01, -4.6137e-01,  7.4207e-01, -5.7853e-02],\n",
       "       dtype=float32),\n",
       " 'apa': array([ 0.20466  ,  0.81165  ,  0.13977  ,  0.24474  , -0.054615 ,\n",
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       "        -0.45751  ,  0.12497  ,  0.036014 ,  0.59483  ,  0.32302  ,\n",
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       "         0.44208  , -1.5452   ,  0.29287  ,  0.16347  , -0.09366  ,\n",
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       "        -0.0025136,  0.40864  , -0.2198   ,  0.18073  , -0.14719  ,\n",
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       "        -0.77265  , -1.6391   , -1.4381   ,  0.36806  ,  0.67899  ,\n",
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       "        -0.098244 ,  0.51761  ,  1.1761   , -0.76997  , -0.037336 ,\n",
       "         0.13002  , -0.064235 ,  0.48695  ,  0.17782  , -1.3114   ,\n",
       "        -0.74624  , -0.78858  ,  0.23488  , -0.20841  ,  0.17316  ,\n",
       "        -0.70156  ,  0.47385  , -0.30787  , -0.35904  , -0.10072  ,\n",
       "        -0.27202  ,  0.33923  ,  0.59295  , -0.7983   , -0.28723  ],\n",
       "       dtype=float32),\n",
       " 'cuando': array([ 0.8055  ,  0.87914 ,  0.10206 , -0.029011, -0.37689 ,  0.95392 ,\n",
       "        -0.064387,  0.60347 , -0.73575 , -0.71382 ,  0.40263 ,  0.089263,\n",
       "        -0.95896 , -0.083537, -0.39826 ,  0.22386 , -0.062833,  1.1451  ,\n",
       "         0.27981 , -0.2027  , -0.32311 ,  0.25496 ,  0.5629  ,  0.18828 ,\n",
       "        -0.086777, -5.4145  , -0.17898 , -0.27981 , -0.33644 ,  0.032161,\n",
       "        -0.61049 , -0.12084 ,  0.22662 ,  0.11023 , -0.121   ,  0.39475 ,\n",
       "         0.27156 ,  0.17573 , -0.059847,  0.2036  ,  0.089697, -0.3539  ,\n",
       "         0.47906 ,  0.38508 ,  0.20831 ,  0.53426 ,  0.078424, -0.11473 ,\n",
       "        -0.4321  , -0.015565,  0.18145 , -0.89053 ,  0.39786 , -0.18968 ,\n",
       "         0.29648 , -0.06931 ,  0.062301, -0.083907,  0.076459,  0.72507 ,\n",
       "         0.1179  ,  0.52158 ,  0.026959, -0.65707 ,  2.1697  , -0.38491 ,\n",
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       "         0.060661, -0.60483 ,  0.34692 ,  0.090938, -0.025786, -0.47688 ,\n",
       "        -0.062853,  0.043652,  0.085422,  0.039709, -0.019773,  0.3992  ,\n",
       "        -0.28097 , -0.15622 ,  0.25004 , -0.25827 , -0.12949 , -0.099814,\n",
       "         0.36266 ,  0.13766 , -0.2216  ,  0.84821 ,  0.038152,  0.33623 ,\n",
       "        -0.74707 , -0.30884 , -0.22935 ,  0.79367 ], dtype=float32),\n",
       " 'team': array([ 1.6927e-01, -3.2107e-02, -2.7744e-01, -9.0772e-01, -4.2109e-01,\n",
       "         6.6502e-01,  3.5019e-01,  2.8826e-01, -4.2687e-01,  3.7681e-01,\n",
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       "        -3.8168e-01,  5.6664e-02, -1.8277e-01, -6.3614e-01,  9.1571e-02,\n",
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       "        -6.3471e-01, -6.1855e-01, -3.4176e-01, -5.2434e-02,  1.4530e+00,\n",
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       "        -5.9037e-01, -6.3527e-02, -1.6298e-01,  7.3069e-02,  3.3173e-01,\n",
       "        -5.9749e-01,  1.3333e-01, -6.0248e-01,  3.6056e-01, -5.3145e-01,\n",
       "        -2.2495e-01, -1.5617e-01,  4.4642e-01,  2.2330e-01, -1.4762e-01,\n",
       "         8.5295e-01, -2.6756e-01, -3.6460e-01, -2.3104e-01, -2.5401e-01,\n",
       "        -2.6559e-01, -8.0047e-01, -7.8173e-01,  2.9458e-01, -3.9529e-01,\n",
       "        -2.4442e-01, -3.9701e-01,  3.2266e-02,  5.7295e-01, -4.3622e-01,\n",
       "         9.5519e-01, -5.2512e-01,  3.0672e-01,  1.0555e+00, -9.7840e-01,\n",
       "         6.8021e-01,  4.0811e-01,  1.8266e-01,  8.0760e-02, -7.2804e-01,\n",
       "         9.8090e-01,  1.0605e-02,  3.8626e-01,  2.4191e-03, -2.3225e-01,\n",
       "         7.8518e-01, -5.1455e-01,  7.9431e-02, -1.2040e-01, -6.7571e-01,\n",
       "         4.0254e-01, -1.0497e-01, -5.1842e-01,  2.2661e-01,  2.0755e-01,\n",
       "        -5.9381e-02, -3.9896e-01,  6.2240e-01,  2.4429e-01,  2.0170e-01],\n",
       "       dtype=float32),\n",
       " '✔': array([-0.40158 , -0.30607 , -0.68104 , -0.68701 ,  0.729   ,  0.62365 ,\n",
       "         0.10731 , -0.30805 , -0.36501 ,  1.0979  , -0.53842 , -1.0405  ,\n",
       "        -1.4696  , -1.3396  , -0.79408 ,  0.51643 , -0.93987 , -0.35011 ,\n",
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       "       dtype=float32),\n",
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       "         5.3605e-01,  2.2842e-01,  1.0606e-01,  1.1063e-01, -1.3541e-01],\n",
       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         0.30709  ,  0.25038  , -0.50391  ,  0.19534  ,  0.32402  ,\n",
       "        -0.68239  ,  0.48922  , -0.64101  , -0.61726  ,  0.49353  ,\n",
       "        -0.92387  , -0.26868  ,  0.52294  , -0.020656 , -0.43919  ],\n",
       "       dtype=float32),\n",
       " '／': array([ 0.65012  , -0.78218  , -0.52564  , -0.6586   , -0.38021  ,\n",
       "         0.55997  , -0.78355  ,  0.38803  , -1.2382   ,  0.41717  ,\n",
       "        -0.23674  ,  0.41088  , -1.5227   ,  0.047082 , -2.1873   ,\n",
       "        -1.2582   ,  0.10203  ,  0.48743  ,  0.91185  ,  0.12187  ,\n",
       "        -0.28478  , -0.25721  ,  3.0052   ,  0.99904  ,  1.3306   ,\n",
       "        -0.78106  ,  0.60583  ,  0.25654  ,  0.57178  ,  0.67098  ,\n",
       "        -0.85941  ,  0.077157 , -0.66774  ,  0.55781  ,  0.14411  ,\n",
       "         1.2553   , -0.70258  ,  0.70754  ,  0.79479  ,  0.16882  ,\n",
       "        -0.72686  ,  0.28382  ,  0.52122  ,  0.27377  , -0.77463  ,\n",
       "         0.79852  ,  0.55618  , -0.76514  , -0.57445  ,  0.21953  ,\n",
       "        -0.97023  , -0.76211  , -1.1993   , -0.31877  ,  0.88462  ,\n",
       "         0.58649  ,  0.68094  ,  0.051148 ,  0.44532  ,  0.86639  ,\n",
       "        -1.5592   , -0.95793  , -0.21541  , -0.021155 , -1.9552   ,\n",
       "         0.010875 ,  0.6104   , -0.39554  , -0.77313  , -0.29772  ,\n",
       "         1.1684   , -0.58913  , -1.1818   , -0.34553  ,  0.32057  ,\n",
       "        -0.41839  , -0.34429  ,  0.20774  , -0.39313  , -1.5697   ,\n",
       "         0.97588  , -0.23358  ,  1.3565   , -0.40949  ,  0.30488  ,\n",
       "        -0.036181 ,  0.75617  , -0.33103  ,  0.098024 ,  0.73641  ,\n",
       "        -0.5297   , -0.80052  , -0.1572   , -0.049612 ,  0.050991 ,\n",
       "         0.85554  , -0.02032  ,  0.39595  ,  0.11897  , -0.0099679],\n",
       "       dtype=float32),\n",
       " 'done': array([ 0.13773  ,  0.51022  , -0.22801  , -0.40531  , -0.24689  ,\n",
       "        -0.16011  , -0.076546 ,  0.33284  , -0.21436  ,  0.79986  ,\n",
       "         0.21154  , -0.42551  , -4.1377   , -0.066824 ,  0.0097501,\n",
       "         0.61844  , -0.35806  , -0.36922  , -0.77287  , -0.31997  ,\n",
       "         0.16332  ,  0.15595  ,  0.106    ,  0.12318  , -0.094803 ,\n",
       "         0.2575   ,  0.034959 ,  0.21032  ,  0.57017  , -0.23884  ,\n",
       "        -0.40577  ,  0.65962  , -0.24309  ,  0.31895  , -0.30653  ,\n",
       "         0.71181  ,  0.041207 , -0.26866  ,  0.49457  ,  0.86227  ,\n",
       "        -0.87506  ,  0.11751  ,  0.24776  ,  0.58538  ,  0.46462  ,\n",
       "        -0.66971  ,  0.25271  ,  0.050925 , -0.013329 ,  0.32654  ,\n",
       "        -0.39367  , -0.18385  ,  0.38839  , -0.42163  ,  0.17419  ,\n",
       "         0.016286 , -0.56414  , -0.64997  ,  0.06342  ,  0.62116  ,\n",
       "        -0.21403  , -0.6353   ,  0.79991  , -0.11917  ,  0.10596  ,\n",
       "         0.14165  , -0.69511  , -0.71593  ,  0.44091  ,  0.13736  ,\n",
       "        -0.58699  ,  0.59463  ,  0.45873  ,  0.42442  ,  0.2098   ,\n",
       "        -0.28762  ,  0.35981  , -0.57291  , -0.42327  ,  0.026656 ,\n",
       "         1.9145   ,  1.1704   ,  0.014401 ,  0.6017   , -0.35855  ,\n",
       "         0.33695  , -0.30594  , -0.32935  ,  0.52077  , -0.10093  ,\n",
       "        -0.31783  ,  0.72026  , -0.28833  , -0.31226  , -0.38521  ,\n",
       "        -0.7186   ,  0.42777  ,  0.34255  ,  0.53608  , -0.49699  ],\n",
       "       dtype=float32),\n",
       " 'after': array([ 0.45308  ,  0.22409  ,  0.059901 , -1.0058   , -0.40193  ,\n",
       "        -0.072105 ,  0.0095785,  0.41807  ,  0.00889  , -0.079609 ,\n",
       "         0.20089  , -0.17596  , -4.9652   , -0.11269  ,  0.19219  ,\n",
       "        -0.28249  ,  0.035007 ,  0.16946  , -0.91115  , -0.20205  ,\n",
       "        -0.57084  , -0.049246 ,  0.0082367, -0.17366  ,  0.036432 ,\n",
       "         0.05382  ,  0.0096672, -0.97448  ,  0.38975  ,  0.18348  ,\n",
       "         0.76511  ,  0.447    , -0.3065   ,  0.23516  ,  0.1696   ,\n",
       "         0.64327  , -0.030322 , -0.26164  ,  0.42864  ,  0.26853  ,\n",
       "        -0.38481  ,  0.29518  ,  0.44058  ,  0.2078   ,  0.54729  ,\n",
       "        -0.22928  ,  0.0059428,  0.58201  , -0.21687  ,  0.29293  ,\n",
       "        -0.030362 ,  0.018856 ,  0.42511  ,  0.33528  ,  0.16451  ,\n",
       "         0.27011  , -0.025902 , -0.024696 ,  0.18782  ,  0.60732  ,\n",
       "         0.013707 ,  0.059661 ,  0.30833  , -0.38728  ,  0.40813  ,\n",
       "        -0.14316  ,  0.55134  , -0.32494  ,  0.44175  , -0.37235  ,\n",
       "        -0.010179 , -0.12852  ,  0.66332  ,  0.010074 ,  0.57659  ,\n",
       "         0.14723  , -0.089833 , -0.14138  ,  0.62962  ,  0.21409  ,\n",
       "         1.871    , -0.28416  ,  0.73308  ,  0.86942  ,  0.012148 ,\n",
       "         0.01413  ,  0.22473  ,  0.22075  ,  0.016624 , -0.42078  ,\n",
       "         0.2197   ,  0.10178  ,  0.12181  , -0.023814 , -0.25187  ,\n",
       "        -0.2928   , -0.26569  ,  0.066601 , -0.02256  ,  0.082447 ],\n",
       "       dtype=float32),\n",
       " 'todos': array([ 8.8900e-01,  8.8320e-02,  4.1171e-01, -4.6595e-01,  8.9247e-01,\n",
       "         3.2236e-01, -9.0807e-02,  2.0869e-02, -8.0606e-01, -6.0141e-01,\n",
       "         4.7526e-02,  5.3298e-01, -9.7821e-01, -1.4283e-01, -1.5057e-01,\n",
       "        -1.2347e-01, -2.2341e-01,  2.3369e-01,  5.7093e-01,  2.5499e-01,\n",
       "        -3.9413e-02,  1.6647e-01, -2.1042e-01, -2.6734e-01,  4.3641e-01,\n",
       "        -5.0331e+00,  3.1355e-01,  4.7273e-01,  7.7899e-01, -1.5505e-01,\n",
       "        -1.6622e-01,  5.5694e-01,  6.7998e-01, -2.7780e-02, -1.1472e-01,\n",
       "        -4.0921e-01,  6.0548e-01,  6.7935e-01, -7.6235e-01, -1.1904e-01,\n",
       "        -4.3154e-01, -3.3732e-01, -1.5375e-01, -3.7585e-01, -4.6034e-01,\n",
       "        -1.7356e-01,  3.6360e-01,  2.2916e-01, -3.4743e-01, -1.1343e+00,\n",
       "        -1.6629e-01, -1.4284e-01,  7.2161e-01, -1.7673e-01,  2.1778e-01,\n",
       "         1.9373e-01, -6.8856e-01,  2.8960e-01,  2.0828e-01,  1.2761e-01,\n",
       "         1.8984e-01, -6.0858e-01,  4.7153e-01,  8.9097e-01,  8.8470e-01,\n",
       "        -1.5816e-01,  5.7811e-02,  8.0638e-01, -5.7779e-01,  3.1917e-01,\n",
       "         8.0014e-01, -8.2872e-01, -7.4082e-01,  6.6949e-01, -2.5245e-01,\n",
       "        -1.4867e-01, -3.3196e-01, -1.0628e+00,  6.4011e-01,  1.2234e-01,\n",
       "        -2.3901e-01,  1.6316e-01,  5.3223e-01, -2.2305e-01,  1.0049e+00,\n",
       "         2.2954e-01,  1.6684e-01,  7.0269e-01,  2.4316e-01,  3.2850e-03,\n",
       "        -3.3892e-02, -1.1070e-01,  3.7160e-01,  7.7915e-01, -3.8592e-02,\n",
       "         1.3957e-01, -2.1222e-02,  2.4878e-01, -1.5656e-02,  2.5240e-01],\n",
       "       dtype=float32),\n",
       " 'girls': array([-0.4995   , -0.68511  ,  0.10267  ,  0.21678  , -0.32662  ,\n",
       "         0.086484 ,  0.61061  ,  0.84712  , -0.58751  ,  0.020116 ,\n",
       "        -0.52506  , -0.089679 , -4.3188   ,  0.21954  , -0.23511  ,\n",
       "         0.21277  , -0.79646  , -1.0204   ,  0.074114 ,  0.20728  ,\n",
       "         0.056965 , -0.33816  , -0.15841  , -0.039913 , -0.46933  ,\n",
       "         0.065601 , -0.080799 , -0.28402  , -0.68567  , -0.39049  ,\n",
       "        -0.0081658, -0.42885  , -0.093008 ,  0.19507  ,  0.59861  ,\n",
       "         0.051983 , -0.15269  ,  0.19966  , -0.027536 ,  0.090389 ,\n",
       "        -0.93095  , -0.59331  ,  0.47606  ,  0.43117  , -0.016177 ,\n",
       "         0.16589  ,  0.47616  ,  0.049025 , -0.13943  , -1.1212   ,\n",
       "        -0.89992  , -0.21588  ,  0.07069  , -0.20181  ,  0.78761  ,\n",
       "         0.36801  , -1.1202   ,  0.060881 , -0.48717  ,  0.50913  ,\n",
       "        -0.31379  ,  0.72365  , -0.11829  , -0.03886  , -0.57007  ,\n",
       "        -0.1931   , -0.6552   ,  0.42345  ,  0.14604  ,  0.31103  ,\n",
       "        -0.17822  , -0.39188  , -0.41595  , -0.32871  , -0.51468  ,\n",
       "         0.1297   , -0.11158  , -0.31269  ,  0.48277  , -0.0842   ,\n",
       "         2.0247   , -0.93411  , -0.3716   , -0.39503  ,  0.74496  ,\n",
       "         0.29958  , -0.016021 ,  0.5779   , -0.29465  , -0.20451  ,\n",
       "        -0.083704 ,  0.76368  , -0.6569   ,  0.20777  ,  0.09455  ,\n",
       "         0.23872  ,  0.14148  , -0.30353  ,  0.19602  ,  0.33733  ],\n",
       "       dtype=float32),\n",
       " 'guys': array([ 4.1024e-02,  4.8858e-01, -1.5280e-03, -9.0887e-02, -1.5022e-01,\n",
       "        -7.8741e-02,  9.3975e-01,  9.0572e-01, -1.8403e-01,  4.2246e-01,\n",
       "         1.2172e-01, -2.9002e-01, -4.3290e+00,  3.6441e-01, -4.2775e-01,\n",
       "         2.7335e-01, -1.7528e-01, -9.2073e-01, -1.7043e-01,  4.0941e-02,\n",
       "        -4.9264e-01,  3.5198e-02, -3.5515e-01, -2.3172e-01, -2.7271e-01,\n",
       "         2.0008e-01,  1.4390e-01, -1.2134e-02, -1.9488e-01, -1.0360e+00,\n",
       "        -3.4347e-01,  3.7515e-02, -8.7100e-03,  2.0766e-01,  5.3784e-01,\n",
       "        -2.8208e-01,  3.8756e-01,  2.1969e-01,  1.4336e-02,  9.4138e-02,\n",
       "        -9.2736e-01, -1.9591e-01,  3.2379e-01,  5.5045e-01, -8.8265e-02,\n",
       "         4.8415e-03, -4.7386e-01, -6.1126e-01, -6.4060e-02, -4.5024e-01,\n",
       "        -9.6675e-01,  2.0393e-01,  4.1769e-01, -4.5665e-01,  9.7261e-01,\n",
       "         3.8033e-01, -8.3751e-01,  7.4099e-02,  2.1654e-01, -2.9668e-01,\n",
       "         3.3820e-01,  3.9820e-01,  1.8627e-01,  2.8074e-01, -3.4390e-01,\n",
       "         1.5007e-01, -6.3141e-01,  3.4855e-02, -4.4941e-01,  2.1638e-01,\n",
       "         1.8375e-01,  2.5461e-01,  6.7820e-02, -1.5743e-01, -1.0178e-01,\n",
       "         3.1097e-01, -2.3089e-01, -4.6094e-01,  2.2862e-01,  3.2023e-01,\n",
       "         2.2589e+00, -9.9189e-03, -2.0901e-01, -1.2718e-02,  7.2365e-01,\n",
       "         1.1934e-01, -4.0178e-01, -3.6149e-01,  2.4679e-01,  2.1121e-01,\n",
       "        -2.9238e-01,  3.5590e-01, -3.8116e-01,  2.7994e-01, -3.0228e-01,\n",
       "        -2.7228e-01,  4.7857e-01, -1.7574e-01,  4.1293e-01, -2.4791e-01],\n",
       "       dtype=float32),\n",
       " 'getting': array([ 2.1960e-01, -3.4679e-01, -8.7025e-02, -2.1406e-01,  6.4895e-02,\n",
       "        -5.3846e-01,  1.0572e-02,  4.7431e-01, -5.3300e-01, -1.6092e-01,\n",
       "         9.4812e-02, -1.7270e-01, -5.1647e+00,  1.2978e-01,  7.0142e-02,\n",
       "        -6.8197e-02, -3.5594e-01,  8.6632e-02, -7.3746e-01, -4.3826e-01,\n",
       "         1.2856e-01,  1.6846e-01,  5.0116e-01, -3.7217e-01, -3.2281e-02,\n",
       "         5.6447e-01,  1.8461e-01, -1.3261e-01, -5.0491e-04, -3.6338e-01,\n",
       "         8.4512e-02, -1.0210e-01, -2.1166e-01, -6.9138e-01, -1.3863e-01,\n",
       "         2.2095e-01, -9.1002e-01, -5.2278e-01, -1.8334e-01,  3.8366e-01,\n",
       "        -3.3697e-01, -3.5310e-02,  6.8922e-02, -6.0110e-02,  5.1386e-01,\n",
       "        -1.7048e-01,  3.0739e-01,  6.5735e-01, -4.3815e-01,  8.6143e-01,\n",
       "        -2.2783e-01, -5.1788e-01,  3.3222e-01,  1.8008e-02,  7.9471e-02,\n",
       "         3.6373e-01, -4.7704e-01, -3.1651e-01,  3.0062e-01,  1.1835e-02,\n",
       "        -1.5451e-02,  4.5992e-02,  3.2486e-01, -3.8716e-01,  1.7071e-01,\n",
       "        -2.0021e-01, -5.6913e-01,  1.4491e-02,  9.3411e-01, -3.8131e-01,\n",
       "         6.7867e-02,  8.3954e-01,  1.0121e-01,  2.4195e-01,  1.0740e-01,\n",
       "        -5.5813e-02, -2.4106e-01, -5.1376e-01, -5.8452e-02,  5.6513e-02,\n",
       "         2.1088e+00,  6.0721e-01, -5.6933e-01,  3.3522e-01,  1.7926e-02,\n",
       "         3.6601e-01, -1.1933e-03,  1.2885e-01,  1.4090e-01, -6.9400e-01,\n",
       "        -5.1449e-01,  4.8687e-01, -1.2310e-02,  6.7753e-01, -1.6185e-01,\n",
       "        -3.2165e-01, -6.4170e-01, -1.3901e-01,  3.1814e-01, -4.5120e-01],\n",
       "       dtype=float32),\n",
       " 'big': array([ 1.3827e-01, -1.5218e-01,  5.5986e-01, -2.2828e-01, -3.5134e-01,\n",
       "        -1.1542e-01,  4.3345e-01,  1.4403e-01, -6.3028e-01, -8.0769e-02,\n",
       "         1.2993e-01,  2.7962e-01, -4.3761e+00, -2.2289e-01,  6.0716e-01,\n",
       "         3.2623e-01,  2.0531e-01, -4.3989e-01, -1.2839e-01,  1.0892e-01,\n",
       "        -2.8257e-01, -2.7734e-01,  4.3178e-01,  1.9674e-01, -2.0869e-01,\n",
       "        -7.8087e-01, -1.6364e-01,  1.8281e-01, -4.7936e-02, -7.9338e-01,\n",
       "        -5.0993e-02,  3.4039e-02, -2.1000e-01,  4.3265e-01,  8.1769e-01,\n",
       "         4.5217e-02,  1.0670e-01, -5.4521e-02, -4.9781e-01,  1.9985e-02,\n",
       "        -8.0542e-01,  6.6078e-02, -1.3610e-01,  4.8824e-01,  3.4747e-01,\n",
       "         2.7419e-01,  2.4004e-01,  1.3877e-01,  5.5025e-01,  3.7953e-02,\n",
       "        -1.9975e-01, -1.4442e-01,  1.4736e-01,  1.2803e-01,  3.7620e-01,\n",
       "         7.0916e-01, -3.8457e-03,  5.0933e-01, -2.9327e-01, -7.4039e-01,\n",
       "        -2.6957e-01, -1.1803e-01, -5.2566e-02,  4.0058e-01,  1.0986e-01,\n",
       "        -7.0723e-01, -1.9910e-01, -5.6518e-02, -1.1866e-01, -1.8100e-01,\n",
       "        -5.0026e-02, -2.9342e-01, -5.6299e-01,  4.1938e-01, -7.2261e-01,\n",
       "         3.1880e-01,  7.8143e-02,  1.9251e-01,  4.0538e-01,  2.5702e-01,\n",
       "         1.5339e+00,  1.8860e-01, -6.5320e-01,  1.8092e-01, -1.6347e-01,\n",
       "         1.0313e+00,  6.5549e-02,  3.9729e-01,  2.7089e-01, -3.8876e-02,\n",
       "        -4.3182e-01, -3.3706e-02, -1.0107e-01, -1.6405e-01,  4.8477e-01,\n",
       "         4.4645e-01, -1.6528e-01, -9.8335e-02,  2.9550e-02, -7.6962e-01],\n",
       "       dtype=float32),\n",
       " 'wait': array([-3.9898e-02,  9.0736e-01,  3.2747e-01,  1.9906e-01, -4.2242e-01,\n",
       "        -1.1457e-01,  1.0035e+00,  3.0591e-01,  7.1547e-02,  4.0001e-01,\n",
       "        -9.6573e-02, -2.1317e-01, -4.3520e+00,  3.3282e-01, -4.0430e-01,\n",
       "        -3.3951e-01,  4.8600e-03,  5.2763e-01, -3.2438e-02,  1.4857e-01,\n",
       "        -3.8666e-01,  5.0101e-02,  6.3554e-02,  6.7353e-02,  1.5601e-01,\n",
       "        -1.9567e-01,  1.1034e-01, -4.4742e-01,  1.7990e-01, -6.2470e-01,\n",
       "        -2.4815e-01,  3.3326e-01, -2.4696e-01,  1.3638e-01, -2.5248e-01,\n",
       "         5.6508e-01,  2.7245e-01, -4.3211e-03,  5.3012e-01,  4.3394e-01,\n",
       "        -1.1828e+00, -2.4079e-01,  7.1431e-01, -1.0715e-03,  2.4606e-01,\n",
       "         3.0575e-01,  1.7527e-01, -7.6920e-01, -1.4829e-01,  7.6699e-01,\n",
       "        -5.2685e-01,  2.5166e-01,  6.1851e-01,  3.2307e-01,  1.7608e-01,\n",
       "        -4.4362e-01,  3.4042e-01,  3.7783e-01,  1.8740e-01,  1.8865e-01,\n",
       "         7.2610e-01,  7.3078e-02,  4.9100e-01, -4.6518e-01,  1.2580e-01,\n",
       "        -1.5894e-01, -3.1325e-01, -9.4356e-02, -2.1148e-01,  1.2932e-01,\n",
       "         5.6518e-01,  4.3678e-01,  3.5361e-01,  2.0354e-01,  2.0340e-01,\n",
       "         1.0977e-01,  1.9595e-01,  1.7445e-01,  3.9514e-01,  4.4946e-01,\n",
       "         2.0205e+00, -2.4376e-01, -4.1825e-01,  4.7127e-02,  6.5048e-01,\n",
       "         3.3388e-02, -5.2080e-01,  8.6132e-02,  4.2310e-01, -8.5000e-02,\n",
       "        -4.2931e-01,  4.0886e-01,  6.8752e-02, -2.3476e-01,  5.5531e-02,\n",
       "         5.2814e-02,  2.0883e-01,  3.6886e-01,  1.7496e-01, -5.8892e-01],\n",
       "       dtype=float32),\n",
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       "         0.60356  , -0.1526   , -3.3495   ,  0.19014  , -0.36918  ,\n",
       "         0.25351  ,  0.13755  , -0.12444  , -0.43363  ,  0.44112  ,\n",
       "         0.70542  , -0.42837  ,  0.19766  ,  0.53166  ,  0.31921  ,\n",
       "        -2.6884   ,  0.14824  , -0.16826  , -0.18362  ,  0.14302  ,\n",
       "        -0.21801  , -0.81952  , -0.31687  , -0.17835  , -0.024845 ,\n",
       "        -0.49099  ,  0.088286 , -0.55032  , -0.60587  , -0.35932  ,\n",
       "        -1.1035   , -0.56796  , -0.50101  ,  0.32293  ,  0.14905  ,\n",
       "        -0.84379  ,  0.013738 , -0.95472  , -1.2902   , -0.83445  ,\n",
       "        -0.3892   ,  1.0995   ,  0.43876  , -0.40307  ,  0.74569  ,\n",
       "        -0.079328 , -0.45234  ,  1.0901   ,  0.0053348, -0.43698  ,\n",
       "         0.71713  ,  1.0637   ,  0.15511  , -0.34046  , -0.15339  ,\n",
       "         0.14563  , -0.31148  ,  0.77762  , -0.14677  , -0.17596  ,\n",
       "        -0.68963  ,  0.54503  ,  0.97072  ,  0.075629 , -0.66962  ,\n",
       "         0.11642  , -0.8725   , -0.61364  ,  0.48861  ,  1.2027   ,\n",
       "         0.77623  , -0.14977  , -0.13885  ,  0.77817  , -1.1261   ,\n",
       "        -0.22494  , -0.8677   ,  0.10302  , -0.028231 ,  0.26801  ,\n",
       "         0.37487  , -0.28315  , -0.109    , -0.020831 , -0.46317  ,\n",
       "         0.63611  , -0.41739  , -0.63571  ,  0.29097  , -0.33528  ],\n",
       "       dtype=float32),\n",
       " 'eh': array([-0.096449,  0.077759,  0.26368 ,  0.20438 , -0.37764 ,  0.15948 ,\n",
       "         0.20223 ,  0.4163  ,  0.40939 ,  0.77018 , -0.44418 , -0.21178 ,\n",
       "        -2.1272  , -0.046628,  0.39798 ,  0.57848 ,  0.51766 , -0.5827  ,\n",
       "        -0.67594 , -0.30952 , -0.35471 ,  0.75544 ,  0.055479,  0.29038 ,\n",
       "        -0.033992, -3.0731  , -0.32463 , -0.15334 , -0.1443  , -0.31049 ,\n",
       "         0.17365 ,  0.92374 ,  0.065596, -0.21979 ,  0.25712 ,  0.017431,\n",
       "         0.51739 ,  0.45322 ,  0.10446 , -0.42686 , -2.2391  , -0.1261  ,\n",
       "         0.090325,  0.52064 , -0.55855 , -0.28334 , -0.95279 ,  0.46056 ,\n",
       "        -0.26635 ,  0.32208 ,  0.29497 ,  0.53773 ,  0.16866 ,  0.39572 ,\n",
       "         0.12771 , -0.24062 , -0.16888 ,  0.22772 , -0.10146 ,  0.12807 ,\n",
       "         0.21861 ,  0.069408,  0.56237 , -0.15738 ,  0.1031  ,  0.14245 ,\n",
       "        -0.69481 , -1.189   , -0.083148,  0.65592 ,  0.81881 ,  0.049158,\n",
       "         0.048818, -0.48653 ,  0.22469 ,  0.59407 , -0.088358,  0.47056 ,\n",
       "         0.50431 ,  0.18316 ,  0.074034,  0.029511,  0.43703 , -0.42488 ,\n",
       "         0.22155 , -0.16533 , -0.49717 , -0.2187  , -0.028952, -0.15985 ,\n",
       "         0.058411,  0.11546 , -0.37109 ,  0.2975  ,  0.047413, -0.67564 ,\n",
       "         0.63366 , -0.055832, -0.46116 ,  0.033048], dtype=float32),\n",
       " '→': array([ 0.6353  , -0.19498 , -0.066795, -1.1685  , -0.39035 ,  1.0011  ,\n",
       "         0.43608 ,  0.31828 , -0.10459 ,  0.11714 , -1.1163  ,  0.84863 ,\n",
       "        -1.4889  , -1.0049  , -1.5226  ,  0.42345 ,  0.11254 , -1.093   ,\n",
       "        -0.56991 , -0.23205 , -0.35797 , -0.29599 ,  1.512   ,  0.85663 ,\n",
       "        -0.65711 , -1.8098  ,  0.9153  , -0.93698 ,  0.73318 ,  0.88187 ,\n",
       "        -0.18991 , -0.43523 ,  0.010257, -0.29876 ,  0.61562 , -0.16047 ,\n",
       "        -0.26883 , -0.024433,  1.4831  , -0.093225, -1.2093  ,  0.66046 ,\n",
       "        -0.87332 ,  0.12052 ,  1.2659  ,  0.35447 , -0.33652 , -0.80032 ,\n",
       "        -0.23566 , -0.65527 , -0.35082 , -0.8163  , -1.268   , -1.1458  ,\n",
       "         1.6676  ,  0.1828  , -0.85637 ,  0.57517 ,  1.0914  ,  0.93981 ,\n",
       "         0.11788 , -0.7425  , -0.75545 ,  0.20739 , -1.3243  , -0.24326 ,\n",
       "         0.56966 ,  0.077402,  0.92715 , -0.16466 ,  0.8373  , -0.45513 ,\n",
       "         0.12167 , -0.47676 ,  0.70109 , -0.19702 ,  0.56937 , -0.24942 ,\n",
       "        -1.0327  , -0.34914 ,  0.28011 , -0.94162 ,  1.4875  , -0.14862 ,\n",
       "         0.34037 , -0.34488 , -1.4464  ,  0.36065 , -0.088438,  0.31513 ,\n",
       "         0.043564,  0.62892 ,  0.25367 , -0.17537 ,  1.5718  ,  0.96337 ,\n",
       "        -1.0105  , -0.20171 , -0.047541,  0.3278  ], dtype=float32),\n",
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       "         0.048578 ,  0.46309  , -1.4034   ,  0.67382  ,  0.30289  ,\n",
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       "        -0.76674  , -0.47918  ,  0.27932  ,  0.13877  ,  0.5023   ,\n",
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       "         0.60704  , -0.22908  , -0.63362  , -0.1276   ,  0.69408  ,\n",
       "        -0.062665 ,  0.69633  , -0.23694  , -0.33007  ,  0.25819  ,\n",
       "         0.11968  ,  0.34561  ,  0.40377  , -0.16991  , -0.27016  ,\n",
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       "        -0.5671   , -0.71784  ,  0.11146  , -0.29595  ,  0.75039  ,\n",
       "        -0.02711  , -0.040097 ,  0.0049525,  0.2498   , -0.075605 ,\n",
       "        -0.63253  ,  0.53221  ,  0.43553  , -0.75686  , -0.074623 ],\n",
       "       dtype=float32),\n",
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       "        -0.0026504, -0.1463   , -1.413    ,  0.72003  ,  0.023257 ,\n",
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       "        -1.4227   , -0.026525 , -1.576    ,  0.47738  , -1.2506   ,\n",
       "        -1.0596   ,  0.3491   , -0.52604  ,  0.45535  , -0.52084  ,\n",
       "         0.0031578, -0.070951 ,  0.34055  ,  0.042156 ,  2.2802   ,\n",
       "         0.22109  ,  0.49233  ,  0.72672  ,  0.92788  , -0.033737 ,\n",
       "        -1.821    ,  0.4552   , -0.39122  ,  0.77675  ,  0.27185  ,\n",
       "        -0.045204 , -1.3508   , -0.34088  ,  0.098536 , -0.076903 ,\n",
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       "        -0.19636  , -0.67488  , -1.5902   , -0.72793  ,  0.33886  ,\n",
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       "         0.60225  , -0.094496 ,  0.085507 , -0.36372  , -0.099417 ,\n",
       "        -0.29707  ,  0.28035  ,  0.18912  , -0.41031  , -0.053746 ,\n",
       "        -0.9104   , -0.86777  ,  0.4383   , -0.22797  ,  0.65546  ,\n",
       "         0.24391  ,  0.012082 , -0.1407   , -0.11304  ,  0.28669  ,\n",
       "        -0.34902  ,  0.090379 , -0.42903  , -1.2246   , -0.67544  ],\n",
       "       dtype=float32),\n",
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       "        -0.24801  ,  0.43052  , -0.89022  ,  0.16062  ,  0.18993  ,\n",
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       "        -4.5734   , -0.42139  , -0.076801 ,  0.4527   , -0.90127  ,\n",
       "        -0.51868  ,  0.034994 ,  0.32382  ,  0.073281 , -0.4822   ,\n",
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       "        -0.27023  , -0.025582 ,  0.99945  ,  0.62846  , -0.31028  ,\n",
       "        -0.27888  , -0.16635  ,  1.0489   ,  0.13501  ,  0.022741 ,\n",
       "        -0.76424  , -0.039519 ,  0.47085  , -0.039597 ,  0.45339  ,\n",
       "        -0.35196  ,  0.50154  ,  0.48635  , -0.30354  ,  0.7309   ,\n",
       "        -0.019658 , -0.38067  ,  0.49885  ,  0.10917  ,  2.0282   ,\n",
       "        -0.31764  , -0.93285  ,  0.44221  , -0.36897  ,  0.063073 ,\n",
       "         0.31729  ,  0.39757  , -0.19654  ,  0.1886   , -0.011417 ,\n",
       "        -0.036624 ,  0.062827 ,  0.82357  ,  0.043273 , -0.35437  ,\n",
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       "       dtype=float32),\n",
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       "        -0.38285  ,  0.010002 , -0.22193  ,  0.033765 ,  0.66384  ,\n",
       "        -0.1453   , -0.57787  ,  0.35488  ,  0.59665  , -0.76835  ,\n",
       "         0.063213 ,  0.017352 , -0.16619  , -0.17027  , -0.22381  ,\n",
       "        -0.28401  , -1.3509   , -0.59652  , -0.041077 ,  0.12346  ,\n",
       "        -0.13906  , -0.048361 ,  0.25638  , -0.30761  ,  0.45196  ,\n",
       "        -0.062845 ,  0.42526  , -0.43916  , -0.026763 , -0.1078   ,\n",
       "         1.8112   , -0.13438  ,  0.014284 ,  0.062344 ,  0.36568  ,\n",
       "        -0.010314 , -0.21017  , -0.027971 , -0.14     ,  0.096611 ,\n",
       "         0.14257  , -0.21281  ,  0.43013  ,  0.45191  , -0.14531  ,\n",
       "        -0.0070287, -0.48934  , -0.057446 , -0.095724 , -0.61341  ],\n",
       "       dtype=float32),\n",
       " 'said': array([ 6.4024e-01,  7.7112e-01,  3.2823e-01,  6.8652e-02, -5.0587e-01,\n",
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       "         8.2096e-02,  3.0256e-01, -3.0617e-01, -6.6963e-02, -8.1786e-01,\n",
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       "        -5.8065e-03, -7.0146e-02,  4.7002e-01, -1.0555e+00,  1.0092e-01,\n",
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       "         2.9414e-02, -1.5269e-01,  3.7715e-01, -6.5036e-01, -1.9935e-01,\n",
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       "        -3.0019e-01, -4.2257e-01, -4.1058e-01,  5.3272e-01, -1.7060e-02],\n",
       "       dtype=float32),\n",
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       "        -2.6500e-01,  4.7627e-01,  1.7836e-01, -5.7262e-02,  4.9226e-02,\n",
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       "        -2.4930e-01,  1.9029e-01, -2.5154e-01, -1.7921e-01,  1.0748e+00,\n",
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       "        -1.1703e+00, -1.1990e+00, -1.5723e+00,  7.2412e-02,  8.1403e-01,\n",
       "        -7.3100e-02,  2.4124e-01, -5.7585e-01, -3.6444e-01, -5.6238e-01,\n",
       "        -5.1142e-01, -3.5958e-02,  3.5462e-01, -5.0790e-01,  8.2880e-01,\n",
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       "        -5.0211e-01, -9.6437e-02, -1.5263e-01,  8.2826e-01, -2.4668e-02,\n",
       "        -1.9490e-01, -4.1108e-01,  1.3853e-03,  6.1286e-01, -2.8698e-01,\n",
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       "        -2.7821e-01, -8.2205e-01,  6.3795e-01, -5.5649e-01,  4.4869e-01,\n",
       "         3.0783e-02,  7.0808e-02, -4.1416e-01, -1.1074e-01, -6.4304e-02,\n",
       "        -4.1294e-01,  8.1669e-02,  3.9343e-01, -7.5498e-02, -1.9167e-01,\n",
       "         1.6983e+00, -8.4906e-02,  1.9374e-01,  9.1055e-02, -4.8926e-01,\n",
       "         5.9096e-02, -1.3657e-02,  7.1465e-01,  8.2827e-01, -2.8252e-01,\n",
       "         5.8285e-01,  5.9391e-01, -3.9595e-02, -2.9785e-01, -5.6135e-01,\n",
       "         4.9681e-01,  7.4645e-01, -2.2187e-01,  1.1207e-01, -3.7571e-01],\n",
       "       dtype=float32),\n",
       " 'week': array([ 1.3095e-01, -1.7110e-01,  2.1895e-01, -5.3894e-01, -1.3356e-01,\n",
       "         2.1934e-01,  2.8498e-01, -1.7375e-01, -2.3761e-01,  5.7427e-02,\n",
       "        -3.2071e-01, -1.4393e-01, -4.2148e+00,  5.8334e-01, -1.4166e-01,\n",
       "         1.2943e-01, -4.2350e-01,  2.1088e-01, -1.4067e+00, -1.0461e-02,\n",
       "        -4.1483e-01, -4.2900e-01, -2.0639e-01,  2.9174e-03,  1.8389e-01,\n",
       "         5.0850e-02, -1.8026e-01, -9.2591e-01, -2.0968e-01, -3.5018e-01,\n",
       "        -6.9257e-01,  4.0064e-01, -8.8444e-01,  2.5062e-01,  2.5604e-01,\n",
       "         3.7979e-01,  6.7914e-01,  8.2834e-02,  3.4540e-01, -2.9460e-01,\n",
       "        -1.1922e+00, -5.4096e-01, -8.4750e-03,  5.5324e-02,  6.8577e-02,\n",
       "        -4.3277e-01, -5.5431e-01, -2.3809e-01,  1.9182e-01,  8.8880e-01,\n",
       "         4.2411e-01, -4.1711e-01, -5.3306e-03,  1.2347e-01, -1.4077e-01,\n",
       "        -3.0678e-01,  2.6547e-02, -9.3723e-02, -2.9689e-01,  7.1449e-02,\n",
       "        -1.9462e-01, -4.8342e-01,  4.4062e-01,  1.5614e-01,  3.4400e-01,\n",
       "         3.9022e-01,  5.2266e-01, -5.9339e-01,  2.7015e-01, -5.4053e-01,\n",
       "         2.7064e-01,  2.5128e-01,  7.4383e-01,  6.0861e-01, -1.6360e-01,\n",
       "         1.3970e-01,  4.5551e-03,  2.2358e-01,  4.4592e-01, -4.5968e-01,\n",
       "         2.2590e+00, -7.8467e-01,  4.9579e-01, -5.0513e-02,  2.9000e-01,\n",
       "         3.6573e-01, -1.6939e-02,  1.7051e-01,  3.6180e-01, -5.8468e-01,\n",
       "        -3.6562e-01,  6.1700e-01,  7.5648e-01, -5.9952e-02, -6.2955e-03,\n",
       "         1.5930e-02,  1.0986e-01,  6.8785e-01,  1.0394e-01, -1.5630e-01],\n",
       "       dtype=float32),\n",
       " 'talk': array([-3.1431e-01,  6.2500e-01, -4.9835e-02, -3.8690e-01, -4.2031e-01,\n",
       "        -1.5677e-03,  3.2360e-01,  2.1788e-01,  1.7998e-01,  4.3356e-01,\n",
       "        -2.4174e-01, -7.9485e-01, -5.0533e+00,  1.0900e-01, -5.6667e-01,\n",
       "        -4.4051e-01, -7.9970e-01,  8.9915e-02,  4.5677e-02, -2.8439e-02,\n",
       "        -3.0652e-02, -2.5855e-01, -5.4579e-01,  6.4625e-01, -6.0392e-02,\n",
       "         1.9756e-01,  2.9054e-01, -2.7505e-01, -5.9216e-01, -5.2957e-01,\n",
       "        -1.0441e-01, -6.5190e-01, -5.1676e-01,  1.1478e-01,  2.7197e-02,\n",
       "         9.4148e-02,  3.1772e-01,  1.1438e-01,  2.8949e-01, -3.2739e-01,\n",
       "        -3.6260e-01, -2.9194e-03,  5.3213e-01,  2.5224e-01, -3.9529e-02,\n",
       "         5.0557e-01,  2.3162e-01,  5.1675e-01,  2.9231e-02,  6.3904e-02,\n",
       "        -2.1658e-01, -9.8031e-02,  7.6142e-02,  1.3583e-02,  2.7280e-01,\n",
       "         3.3317e-01, -5.9018e-01,  2.1856e-01,  2.5046e-01,  9.8664e-02,\n",
       "         1.1537e-01, -6.8892e-02, -1.6679e-02, -1.6911e-01, -1.6836e-01,\n",
       "        -2.6400e-01, -2.1818e-01,  6.3598e-01, -1.0086e-01,  3.0989e-01,\n",
       "        -2.6438e-01,  3.1237e-01,  5.4654e-02, -5.5766e-01, -3.2211e-02,\n",
       "        -9.3621e-02,  3.4967e-01,  3.5203e-01, -2.2793e-01,  9.1017e-03,\n",
       "         9.0265e-01,  2.8200e-01, -4.0295e-01, -4.5989e-01, -1.4112e-01,\n",
       "         1.6759e-01, -1.3270e-01,  2.9903e-01,  4.8002e-02,  2.5886e-02,\n",
       "        -5.5401e-01,  6.7152e-02, -6.3118e-01,  4.0516e-01,  2.4383e-01,\n",
       "        -7.6687e-02,  1.5470e-01, -1.4511e-01, -4.0283e-02,  2.0167e-01],\n",
       "       dtype=float32),\n",
       " 'ne': array([ 1.1094  , -0.32125 , -0.56269 ,  0.094903,  0.90945 ,  0.43111 ,\n",
       "        -1.0002  ,  0.27882 ,  0.57478 ,  0.42226 , -0.37898 , -1.0368  ,\n",
       "        -1.7933  ,  0.4465  , -0.45577 , -0.61569 ,  0.63622 ,  0.10923 ,\n",
       "        -1.5682  , -0.020871,  0.68026 ,  0.077118, -0.60706 ,  0.11185 ,\n",
       "        -0.37885 , -2.3287  ,  0.15553 , -0.30106 , -0.061377,  1.1149  ,\n",
       "         0.39632 ,  0.077353, -1.9186  ,  0.55639 ,  0.34256 , -0.064812,\n",
       "        -0.4255  , -0.05782 , -0.074765, -0.3612  , -1.9442  , -0.053301,\n",
       "        -0.56519 ,  0.34873 ,  0.55898 , -0.16044 ,  0.31142 , -1.0742  ,\n",
       "         0.81074 ,  0.022491,  0.5639  ,  0.12172 , -0.12783 ,  0.91299 ,\n",
       "        -0.21724 , -0.55259 ,  0.23905 , -0.091765,  0.05697 ,  0.02351 ,\n",
       "        -0.27326 ,  0.89375 ,  0.77648 , -0.43933 , -1.1244  ,  0.094827,\n",
       "        -0.1475  , -0.46361 , -1.0364  ,  0.277   ,  0.047045,  1.0966  ,\n",
       "        -0.84774 ,  0.10443 , -1.0752  , -0.15158 , -0.61298 ,  0.5501  ,\n",
       "        -0.14161 ,  0.12109 , -0.64463 , -0.6225  , -0.44844 ,  0.011784,\n",
       "        -0.76804 ,  0.40366 ,  0.50715 ,  0.36799 , -0.40453 ,  0.18131 ,\n",
       "         0.15948 , -1.041   , -0.70263 , -0.56156 , -0.68441 , -0.7958  ,\n",
       "         0.33482 , -0.028902,  0.33501 , -0.87751 ], dtype=float32),\n",
       " 'solo': array([-0.49973 , -0.061376, -0.13485 ,  0.26605 , -0.024372,  0.31804 ,\n",
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       "        -1.744   , -0.18118 , -0.3421  ,  0.095091,  0.025815,  0.4702  ,\n",
       "         0.27696 , -0.67538 , -0.28834 ,  0.53441 ,  0.58614 , -0.09915 ,\n",
       "        -0.84207 , -4.1256  , -0.33709 , -1.0207  ,  0.055955, -0.015511,\n",
       "        -0.53325 , -0.045041,  0.55007 ,  1.0009  ,  0.4109  ,  0.21757 ,\n",
       "         0.54266 ,  0.021782, -0.088655,  0.47313 , -0.41675 , -0.43066 ,\n",
       "        -0.2357  ,  0.25063 ,  0.13379 , -0.049547, -0.085657, -0.24745 ,\n",
       "        -0.76779 , -0.31614 , -0.058884,  0.01254 , -0.06572 ,  0.056977,\n",
       "        -0.49436 ,  0.11259 ,  0.0981  , -0.025226,  0.60919 ,  0.083168,\n",
       "        -0.043715, -0.13395 , -0.45556 ,  0.32698 ,  1.7249  , -0.73343 ,\n",
       "        -0.24337 ,  0.17515 , -0.6951  ,  0.49036 , -0.53322 ,  0.081681,\n",
       "        -0.041257, -0.066804, -0.51562 ,  0.18899 , -0.58299 ,  0.2932  ,\n",
       "         0.37283 , -0.39258 ,  0.87026 , -0.096365,  0.1917  ,  0.23881 ,\n",
       "        -0.34877 , -0.11365 , -0.020187,  0.32291 ,  0.85097 , -0.11137 ,\n",
       "         0.93007 ,  0.15918 ,  0.11171 ,  0.46594 , -0.58903 ,  0.4405  ,\n",
       "        -0.19104 , -0.71454 ,  0.32786 ,  0.60806 ], dtype=float32),\n",
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       "        -0.16522  ,  0.033351 , -0.19648  , -0.23015  , -0.19107  ,\n",
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       "        -4.6864   ,  0.24249  ,  0.39691  ,  0.13652  ,  0.45839  ,\n",
       "        -0.018915 ,  0.12453  , -0.29618  , -0.25699  , -1.0786   ,\n",
       "        -0.093562 , -0.0085312, -0.089673 , -1.1189   ,  0.41043  ,\n",
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       "        -0.30972  , -0.51532  ,  0.95939  ,  0.17012  , -0.32497  ,\n",
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       "         0.26929  ,  0.2317   ,  0.012141 ,  0.46679  ,  0.84886  ,\n",
       "         0.28805  , -0.34778  ,  0.49868  , -0.4222   ,  0.13438  ,\n",
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       "         0.73166  ,  0.061551 ,  0.31962  ,  0.22866  , -0.018043 ,\n",
       "        -0.50312  ,  0.1092   ,  0.041566 ,  0.077402 ,  0.36164  ,\n",
       "         0.32661  , -0.065652 ,  1.0764   ,  0.18549  , -0.22045  ,\n",
       "         0.16414  ,  0.35647  , -0.13926  , -0.4122   , -0.090645 ,\n",
       "         0.29668  ,  0.25777  , -0.83482  ,  0.40743  ,  0.05804  ],\n",
       "       dtype=float32),\n",
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       "        -1.3008   ,  0.31855  ,  0.20124  , -0.019258 ,  0.34254  ,\n",
       "        -0.80833  ,  0.62117  ,  0.64571  ,  0.6531   ,  1.9104   ,\n",
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       "        -2.728    ,  0.30109  , -0.55639  ,  0.76108  , -0.37407  ,\n",
       "        -0.62484  , -1.5053   , -0.31178  ,  0.3844   ,  0.98133  ,\n",
       "         0.076294 ,  0.35195  , -0.083269 , -0.30223  , -0.2586   ,\n",
       "        -0.19794  , -0.34522  , -0.24861  ,  0.88334  ,  0.19052  ,\n",
       "         0.13988  , -0.17951  ,  0.81899  , -0.64924  , -0.7175   ,\n",
       "        -0.49563  , -1.2614   , -1.4247   , -0.044209 ,  1.2336   ,\n",
       "        -0.20392  ,  1.0391   , -0.89356  , -0.089717 ,  0.45248  ,\n",
       "        -0.031575 , -0.35789  , -0.33611  ,  0.01881  ,  0.16738  ,\n",
       "         0.82722  ,  0.65189  ,  0.76129  ,  0.73399  , -0.99029  ,\n",
       "         0.091461 , -0.95726  ,  0.45028  ,  0.24757  ,  0.48774  ,\n",
       "        -0.73248  ,  0.12063  ,  0.182    , -0.11796  ,  0.11968  ,\n",
       "        -0.70826  ,  1.2718   ,  0.17656  , -0.96053  , -0.74316  ],\n",
       "       dtype=float32),\n",
       " '：': array([ 0.61632  ,  0.16508  , -0.066896 , -0.81488  , -0.55816  ,\n",
       "         0.090791 , -0.13427  , -0.62882  ,  0.13526  , -0.36358  ,\n",
       "        -1.8173   ,  1.9539   , -1.8003   , -0.32297  , -1.1999   ,\n",
       "        -1.1763   ,  0.135    ,  0.17799  ,  0.7895   , -1.2296   ,\n",
       "         0.39498  , -0.51333  ,  1.2877   ,  1.2061   ,  0.080842 ,\n",
       "        -0.068929 ,  1.085    , -0.25192  , -0.073926 ,  0.88328  ,\n",
       "         0.08722  , -1.0113   , -0.77737  , -0.10439  ,  0.17565  ,\n",
       "         1.2253   , -0.32323  ,  0.0031451,  0.91763  ,  0.70987  ,\n",
       "        -1.1048   ,  0.33079  , -0.50473  , -0.11333  , -0.063014 ,\n",
       "        -0.18245  , -0.54066  , -0.67816  , -0.23382  , -0.21564  ,\n",
       "        -0.80716  ,  0.1349   , -1.8669   , -0.64672  ,  1.1976   ,\n",
       "        -0.064191 ,  1.2116   ,  0.10834  ,  1.1289   , -0.29773  ,\n",
       "        -1.8613   , -1.0062   , -1.5007   , -0.82656  , -0.86669  ,\n",
       "         0.38151  ,  0.58316  ,  0.4521   , -0.1137   , -0.10004  ,\n",
       "        -0.18183  , -2.2883   , -0.41749  , -1.5512   ,  0.2505   ,\n",
       "        -0.48633  , -0.2072   ,  1.2508   ,  0.37537  , -2.3511   ,\n",
       "         0.20939  , -0.46643  ,  1.5331   ,  0.48904  ,  0.77801  ,\n",
       "         0.52746  , -0.091015 ,  0.25199  ,  0.057696 ,  1.8802   ,\n",
       "        -0.73229  ,  0.41989  ,  0.075783 , -0.15454  ,  0.99505  ,\n",
       "         0.13225  , -0.32653  , -0.32143  ,  0.5908   ,  0.29679  ],\n",
       "       dtype=float32),\n",
       " '--': array([ 0.65823  , -0.14079  , -0.26396  ,  0.14621  ,  0.30599  ,\n",
       "        -0.50604  ,  0.62949  ,  0.18257  ,  0.081675 ,  0.53268  ,\n",
       "         0.032179 , -0.023498 , -2.4109   , -0.51191  ,  0.85314  ,\n",
       "        -0.35006  ,  0.15674  , -0.31763  , -0.088953 , -0.09504  ,\n",
       "        -0.069923 , -0.47449  ,  0.011889 , -0.24153  ,  0.6092   ,\n",
       "        -1.1653   , -0.35633  , -0.097282 ,  0.96907  ,  0.61812  ,\n",
       "        -0.063226 ,  0.028514 , -0.59958  , -0.27643  ,  0.97492  ,\n",
       "        -0.10995  ,  0.11974  ,  0.25694  ,  0.16736  , -0.79939  ,\n",
       "        -1.3963   , -0.072343 , -0.33533  , -0.19315  ,  0.72489  ,\n",
       "        -0.67532  , -0.88444  , -0.024327 ,  0.071463 , -0.065802 ,\n",
       "        -0.83684  ,  0.0090463,  0.41389  ,  0.48461  ,  0.24275  ,\n",
       "         0.12391  , -0.18412  ,  0.47009  ,  0.25956  , -0.033194 ,\n",
       "         0.034896 , -0.66542  ,  0.22886  , -0.58158  ,  0.83792  ,\n",
       "        -0.50721  , -0.0049909, -0.65349  ,  0.21656  ,  1.0409   ,\n",
       "         0.40881  , -0.11575  ,  0.51039  , -0.36993  , -0.30141  ,\n",
       "        -0.1568   ,  0.25643  , -0.20825  , -0.25125  , -0.5238   ,\n",
       "         0.1707   ,  0.065587 ,  0.54245  , -0.13788  , -0.15688  ,\n",
       "        -0.25803  , -0.30672  ,  1.1008   ,  0.029333 ,  0.18846  ,\n",
       "        -0.54701  ,  0.14087  ,  0.22068  , -0.23473  , -0.065346 ,\n",
       "         0.10098  ,  0.41679  , -0.040538 ,  0.14021  , -0.10428  ],\n",
       "       dtype=float32),\n",
       " '＼': array([ 0.88791 ,  0.26554 , -0.49544 , -0.36305 , -0.14105 ,  0.3664  ,\n",
       "        -0.61809 ,  0.55231 , -1.6712  ,  0.49874 , -0.48808 ,  0.16486 ,\n",
       "        -0.98347 , -0.33331 , -2.1598  , -0.93107 , -0.36531 ,  0.18013 ,\n",
       "         0.065274,  0.13359 , -0.28232 , -0.49176 ,  2.3753  ,  0.5363  ,\n",
       "         1.6501  , -0.9907  ,  0.70095 ,  0.2495  ,  0.66264 ,  0.41203 ,\n",
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       "        -7.9002e-02, -7.9749e-01,  1.9990e-01,  4.3064e-01,  2.3551e-01,\n",
       "        -3.9258e-01, -6.9118e-02,  6.0436e-01, -3.0222e-01,  8.4703e-02,\n",
       "        -2.7941e+00,  7.4785e-01,  3.5523e-01, -7.8060e-02,  8.4961e-01,\n",
       "         8.0210e-01,  1.1337e-01, -6.5657e-01, -1.0211e+00, -9.6299e-01,\n",
       "         5.1582e-01, -8.6546e-02, -8.5034e-01, -1.5134e+00,  3.3672e-01,\n",
       "        -3.5341e+00,  3.5674e-01, -2.9586e-01, -1.5466e-01, -6.6127e-01,\n",
       "         7.5290e-01, -1.2835e-01, -1.9478e-01, -1.5394e-02, -9.1975e-01,\n",
       "         7.6883e-02,  2.4757e-01,  5.2435e-01,  4.9002e-01, -3.2627e-01,\n",
       "        -2.7279e-01,  1.4614e-01,  1.2067e+00, -6.0063e-01, -8.3091e-02,\n",
       "         1.2806e-01,  3.1615e-02,  1.6398e-01,  5.6254e-01, -4.0623e-01,\n",
       "        -7.0847e-01, -6.2082e-02, -3.0982e-01, -2.9990e-01, -7.6303e-01,\n",
       "         6.9988e-01,  7.3743e-02,  5.7761e-02,  1.0240e+00, -8.6989e-01,\n",
       "         1.8633e-01, -3.9012e-01, -1.1300e-01, -3.1863e-01,  2.8442e-01,\n",
       "        -1.4121e+00,  1.2643e-01, -1.4483e-01, -1.6999e-02,  6.3273e-01,\n",
       "         6.3171e-01, -2.0514e-01,  4.6459e-01, -4.1912e-01, -5.3101e-01,\n",
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       "        -2.6497e-01,  1.0688e+00,  4.6885e-02, -1.6308e-01, -7.1651e-01],\n",
       "       dtype=float32),\n",
       " 'call': array([-1.6714e-01,  8.3691e-01, -3.3936e-01, -1.6886e-01, -3.0552e-01,\n",
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       "        -4.7852e-01, -3.8772e-01, -4.4108e+00, -3.7122e-01,  5.7377e-02,\n",
       "        -8.3119e-02, -8.7908e-02,  1.2221e-01,  6.5592e-02, -5.5469e-01,\n",
       "        -3.6210e-01, -4.8983e-01, -3.1925e-01,  4.3073e-02,  3.4893e-01,\n",
       "        -5.6961e-01,  4.0863e-01, -4.3016e-01, -6.3281e-01, -2.8634e-01,\n",
       "         5.5735e-01, -2.9707e-01, -3.2081e-01,  3.0752e-01,  1.0163e-01,\n",
       "         1.8870e-01,  2.0449e-01,  2.6959e-02,  4.1626e-01, -2.0577e-01,\n",
       "        -6.9800e-01,  4.7190e-01,  1.5995e-01,  2.2698e-01,  3.0581e-01,\n",
       "        -4.9142e-02,  3.5938e-01, -3.8647e-01,  5.9234e-01,  3.7767e-03,\n",
       "        -3.1281e-02, -1.7780e-01, -2.8286e-01,  2.2190e-01,  1.9250e-01,\n",
       "         4.0490e-01, -4.7381e-01,  3.6647e-01,  2.8019e-02,  5.0068e-01,\n",
       "         1.9249e-01,  1.4910e-01, -7.1440e-02,  4.2561e-01,  1.8319e-02,\n",
       "        -6.7243e-02, -5.8868e-01, -1.9853e-01,  7.8861e-01, -4.1962e-02,\n",
       "         1.4674e-01,  2.8451e-01,  1.6740e-02, -4.1788e-01,  5.9094e-01,\n",
       "         2.5658e-01,  6.0238e-01,  4.7217e-01, -2.6590e-01,  3.1154e-01,\n",
       "         1.0568e+00,  4.9841e-01, -7.6260e-02, -6.3577e-01, -4.9832e-02,\n",
       "        -4.3574e-01, -5.9453e-02,  2.6451e-01,  5.9036e-01, -3.6313e-02,\n",
       "        -5.7961e-01, -3.6444e-01, -1.0097e+00,  3.0143e-01,  3.6037e-01,\n",
       "         4.3503e-01, -7.0979e-01, -1.9512e-01,  1.0354e-01,  1.4300e-02],\n",
       "       dtype=float32),\n",
       " 'long': array([ 0.099868, -0.50684 , -0.10059 ,  0.24756 ,  0.12622 ,  0.080874,\n",
       "         0.38384 , -0.14324 , -0.24464 ,  0.37815 ,  0.11421 , -0.59722 ,\n",
       "        -4.4308  , -0.19818 , -0.39782 ,  0.35418 , -0.13001 , -0.051325,\n",
       "        -0.97185 , -0.023802, -0.56864 , -0.56548 ,  0.4053  ,  0.11999 ,\n",
       "         0.12806 , -0.098491, -0.62589 ,  0.0762  , -0.23273 , -0.29965 ,\n",
       "        -0.05761 ,  0.37252 , -0.25656 ,  0.41209 , -0.06478 ,  0.36265 ,\n",
       "        -0.5636  , -0.60788 ,  0.34849 ,  0.028514, -1.1064  ,  0.087483,\n",
       "         0.089717,  0.79154 , -0.1042  , -0.2993  ,  0.47122 , -0.32758 ,\n",
       "         0.44848 ,  0.25532 , -0.39675 ,  0.3969  ,  0.24333 , -0.14975 ,\n",
       "        -0.58964 ,  0.4231  , -0.11835 ,  0.23474 ,  0.33672 , -0.23663 ,\n",
       "         0.45359 , -0.13247 , -0.090778, -0.31989 ,  0.26225 , -0.3184  ,\n",
       "        -0.40282 , -0.093734,  0.018869,  0.1243  , -0.5996  ,  0.099895,\n",
       "         0.35975 ,  0.059572,  0.67651 , -0.14795 ,  0.28049 ,  0.097252,\n",
       "         0.58949 , -0.50048 ,  1.5342  , -0.36143 , -0.032878, -0.087865,\n",
       "         0.37646 ,  0.4525  ,  0.079882, -0.016331,  0.1463  ,  0.12652 ,\n",
       "        -0.23775 ,  0.18577 ,  0.041776, -0.17018 ,  0.33405 ,  0.040227,\n",
       "         0.20645 ,  0.30275 , -0.63451 , -0.54228 ], dtype=float32),\n",
       " 'tapi': array([ 0.16373  , -0.018052 ,  0.11434  ,  0.40741  , -0.70713  ,\n",
       "         0.68178  ,  0.55416  , -0.02703  ,  0.4679   ,  2.1467   ,\n",
       "         0.20827  , -1.0478   , -0.99614  ,  0.33429  ,  0.39306  ,\n",
       "         0.78294  ,  0.28544  , -0.40418  , -0.26268  ,  0.032156 ,\n",
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       "        -0.40529  , -0.78281  , -0.045477 ,  0.17696  ,  0.056379 ,\n",
       "        -0.47756  ,  0.27499  , -0.66803  , -0.52985  ,  0.0062208,\n",
       "        -0.10512  , -0.1433   ,  0.17821  ,  1.2324   ,  0.35599  ,\n",
       "         0.31343  ,  0.35621  ,  0.10983  ,  0.1993   , -0.89352  ,\n",
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       "         0.38586  ,  1.0055   , -0.45483  ,  0.014611 ,  0.40823  ,\n",
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       "         0.12584  , -0.5363   ,  0.36779  ,  0.29775  , -0.046275 ,\n",
       "        -0.246    , -0.6232   ,  0.67935  , -0.26078  ,  0.71912  ,\n",
       "         0.1654   , -0.087285 ,  0.30416  , -0.24689  ,  0.41536  ,\n",
       "         0.036636 ,  0.56663  , -0.30577  , -1.4757   ,  0.2044   ],\n",
       "       dtype=float32),\n",
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       "        -0.45538  ,  0.24063  ,  0.47048  , -0.13787  , -0.032415 ,\n",
       "        -0.059966 ,  0.20532  , -0.087116 ,  0.75402  ,  0.091202 ,\n",
       "        -0.59945  ,  0.17026  ,  0.16275  ,  0.58503  ,  0.25009  ,\n",
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       "        -0.049581 ,  0.11056  ,  0.019387 ,  0.066286 , -0.796    ],\n",
       "       dtype=float32),\n",
       " 'sin': array([-0.40081 ,  0.1109  , -0.40695 ,  0.58076 ,  0.12114 ,  0.29684 ,\n",
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       "        -2.0788  , -0.010058, -0.078031,  0.48093 ,  0.20618 ,  0.069199,\n",
       "         0.59783 ,  0.21045 , -0.36624 ,  0.72718 ,  0.44523 ,  0.036082,\n",
       "         0.29035 , -4.2267  , -0.2825  , -0.32077 ,  0.038472, -0.13352 ,\n",
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       "         0.45433 , -0.23401 ,  1.1506  , -0.045201,  0.65846 ,  0.19199 ,\n",
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       "         0.5532  , -0.24854 ,  0.21898 ,  1.3603  , -0.71764 , -0.24933 ,\n",
       "         0.20958 , -0.4184  ,  0.062796,  0.096202], dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -1.8232e-02, -5.2523e-01, -3.5818e-01,  7.5039e-02, -1.8099e-01,\n",
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       "        -5.1683e-01,  3.6194e-02,  1.8371e-01,  1.1972e-01, -1.8577e-01,\n",
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       "        -4.5489e-02,  1.9492e-01, -5.6932e-01,  1.2544e-01,  5.6321e-01],\n",
       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -1.2503e+00,  1.8658e-01, -9.2391e-01,  8.4384e-01, -5.1326e-01],\n",
       "       dtype=float32),\n",
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       "         4.5637e-02,  9.1098e-04, -4.7230e-01, -4.6339e-01,  7.6240e-02],\n",
       "       dtype=float32),\n",
       " 'gameinsight': array([-6.9376e-01, -6.2424e-01, -1.1343e+00,  3.4692e-01, -1.4497e+00,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -1.7445e-01,  4.0008e-01,  3.2614e-01, -7.0206e-04,  1.7019e-01,\n",
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       "        -6.0792e-01, -5.5051e-01, -1.0089e-01,  1.2535e-01, -2.9735e-01,\n",
       "        -4.9161e-01,  2.2456e-01,  3.8024e-01,  4.2073e-02,  4.0366e-02,\n",
       "        -2.5818e-01, -9.1554e-01,  1.1551e-01,  5.7625e-01, -1.8911e-01,\n",
       "        -6.6359e-01,  2.4076e-01,  4.3952e-01, -2.2624e-01,  4.9917e-01,\n",
       "        -1.7685e-02, -8.2458e-02, -4.0077e-01, -1.6057e-01,  4.5272e-01,\n",
       "        -2.4232e-01,  4.9051e-02, -8.8463e-01,  1.7133e-01, -4.3039e-01,\n",
       "        -4.1470e-03, -2.3379e-01, -2.7993e-01,  1.3974e-02,  3.2801e-01],\n",
       "       dtype=float32),\n",
       " 'gotta': array([-0.094862 ,  0.60807  ,  0.40634  ,  0.083052 , -0.14669  ,\n",
       "        -0.18759  ,  0.5474   , -0.015199 , -0.096864 ,  0.46883  ,\n",
       "        -0.30457  , -0.20012  , -4.7966   ,  0.16231  , -0.11816  ,\n",
       "        -0.1828   , -0.66578  ,  0.40308  ,  0.22478  , -0.42281  ,\n",
       "         0.093048 , -0.082118 ,  0.14524  , -0.067671 , -0.13316  ,\n",
       "        -0.0085929, -0.19375  ,  0.1279   , -0.47585  , -0.72735  ,\n",
       "        -0.5023   , -0.06422  , -0.030969 ,  0.40728  , -0.45856  ,\n",
       "         1.0176   , -0.017327 , -0.72727  ,  0.10007  ,  0.64306  ,\n",
       "        -0.17845  ,  0.35807  ,  0.36452  , -0.32097  ,  0.27147  ,\n",
       "        -0.078565 ,  0.73384  ,  0.092349 ,  0.10699  ,  0.41861  ,\n",
       "        -0.48652  , -0.073304 ,  0.35779  ,  0.0052293, -0.022294 ,\n",
       "        -0.14638  , -0.83231  ,  0.22581  ,  0.11488  ,  0.048126 ,\n",
       "        -0.15465  ,  0.034554 , -0.093138 ,  0.26062  ,  0.10057  ,\n",
       "        -0.55805  ,  0.25272  , -0.067778 , -0.1046   ,  0.070419 ,\n",
       "        -0.23491  ,  0.65675  , -0.33759  ,  0.049318 , -0.35887  ,\n",
       "        -0.075506 ,  0.7912   ,  0.1361   ,  0.29409  ,  0.069579 ,\n",
       "         1.5791   ,  0.3403   , -1.2807   , -0.81672  ,  0.12753  ,\n",
       "         0.46282  , -0.4947   ,  0.20086  ,  0.086146 ,  0.2142   ,\n",
       "        -0.36489  ,  0.40411  , -0.26166  , -0.45645  ,  0.078152 ,\n",
       "        -0.055656 , -0.27861  ,  0.75637  ,  0.37109  , -0.1686   ],\n",
       "       dtype=float32),\n",
       " 'ولا': array([ 1.1940e-01, -1.1937e+00, -9.5703e-02,  8.6158e-01,  3.2550e-01,\n",
       "         5.5175e-01,  4.1952e-01, -4.4814e-01, -2.9439e-01,  3.4761e-01,\n",
       "         4.1576e-01, -5.9897e-01,  2.3176e+00,  4.4968e-02,  2.3073e-01,\n",
       "        -2.1451e-01, -7.9449e-01, -1.1072e+00, -3.3937e-01, -4.2520e-01,\n",
       "         4.4783e-01,  4.1579e-01,  4.0416e-01, -7.1080e-01,  1.0186e+00,\n",
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       "        -1.4212e+00,  2.5851e-01, -8.1606e-01,  8.5925e-01, -2.2032e-01,\n",
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       "        -4.1735e-01,  6.2507e-01, -1.6380e-01, -7.2725e-01,  8.1799e-01,\n",
       "        -3.0419e-01,  7.7649e-01,  1.0476e+00, -3.5616e-03,  8.1937e-02,\n",
       "        -7.4690e-01,  3.2612e-01,  7.0073e-01, -6.2508e-01,  8.7569e-01,\n",
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       "         4.4353e-01, -9.2030e-01, -4.3258e-01, -2.9817e-01,  5.9361e-01,\n",
       "        -9.0744e-02, -4.3322e-01, -2.5241e-01,  1.2439e+00, -4.8054e-01,\n",
       "         6.1069e-01, -3.6934e-01,  1.9324e-01, -3.8735e-01, -3.4461e-02,\n",
       "         9.2447e-02, -2.6525e-01, -4.1564e-01,  6.3218e-01, -8.8744e-01,\n",
       "        -6.1179e-01,  3.2193e-01,  1.2263e-02, -3.1441e-01,  3.0019e-01,\n",
       "         5.1561e-01,  1.4265e-01,  1.9755e+00, -4.4923e-02,  2.7102e-01,\n",
       "         1.3542e-03,  4.6946e-01, -1.6883e-01, -6.8133e-01,  2.5618e-02,\n",
       "        -1.2515e+00, -2.7558e-01, -1.3554e+00, -1.8440e-01, -2.3702e-01],\n",
       "       dtype=float32),\n",
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       "        -4.4217e-01,  2.6583e-01, -3.7124e+00,  4.1712e-01,  4.3375e-01,\n",
       "         1.7227e-01,  4.6666e-01, -4.0818e-01, -1.0639e-01, -5.2362e-01,\n",
       "         3.3871e-01, -1.8730e-02,  3.9345e-02,  2.2960e-01,  1.3549e-01,\n",
       "        -8.4601e-01, -1.2257e-01, -2.5892e-01, -9.8715e-01, -9.2446e-01,\n",
       "         1.0380e-01,  1.6817e-02, -3.4140e-01, -6.2911e-02,  3.5725e-01,\n",
       "         7.5862e-01,  8.2661e-02, -9.5920e-02, -1.5026e-01, -1.4088e-01,\n",
       "        -1.1398e+00,  2.3303e-01,  6.5569e-02,  1.2191e-01,  2.0027e-01,\n",
       "        -4.5072e-02, -7.6274e-02,  1.8245e-01,  2.2045e-01, -1.7153e-01,\n",
       "        -6.7000e-01,  3.3304e-01,  4.7586e-01, -3.2999e-01,  8.2177e-02,\n",
       "         4.3802e-02, -3.6812e-01,  9.1956e-01,  1.8130e-01,  2.2137e-01,\n",
       "        -4.1335e-01,  4.2237e-01,  1.6803e-01, -2.2091e-01, -3.8649e-01,\n",
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       "         1.0907e-01, -4.3972e-01, -9.9034e-02, -3.3171e-01, -3.7794e-01,\n",
       "         7.1618e-02,  7.3105e-02,  2.3179e-02, -6.8735e-03,  4.4939e-01,\n",
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       "         1.9244e-01, -3.1611e-01,  2.1032e-01,  1.2866e-03,  4.8707e-01,\n",
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       "         3.4939e-01,  2.5799e-01,  2.8836e-01,  1.2322e-01,  1.0460e-01],\n",
       "       dtype=float32),\n",
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       "         9.3814e-02, -8.8543e-02, -4.5042e+00, -4.7756e-01,  1.5823e-01,\n",
       "        -2.9687e-01,  2.3659e-01,  3.9524e-01, -2.3933e-01,  5.6446e-02,\n",
       "         2.9453e-01,  7.5042e-02,  6.5989e-03, -1.4189e-01, -2.5378e-01,\n",
       "         2.0519e-01,  5.2149e-01, -1.8685e-01,  2.5047e-01,  3.3967e-01,\n",
       "         2.2292e-01,  1.3368e-01, -3.1925e-01,  5.3601e-01,  1.2530e-01,\n",
       "         8.3594e-01,  3.7784e-01, -6.2973e-01, -3.3479e-01,  4.3726e-02,\n",
       "        -4.8950e-01,  3.0132e-02, -7.4242e-02, -2.7178e-01,  5.2930e-01,\n",
       "         1.9448e-01,  1.4755e-01,  4.1640e-01,  9.8027e-02,  7.1504e-01,\n",
       "         5.1002e-02,  4.1797e-01,  4.0157e-01, -4.1583e-01,  1.0066e-01,\n",
       "         4.7286e-01, -2.3937e-01,  1.4734e-01,  7.7349e-02, -7.3901e-02,\n",
       "         1.3242e-01, -3.6094e-01,  2.7901e-01,  6.6648e-02,  1.8737e-02,\n",
       "        -3.0703e-01,  4.4560e-02, -8.5045e-02, -3.8383e-01, -4.9203e-01,\n",
       "        -4.0706e-01, -2.7948e-01,  5.1502e-01,  4.7480e-01,  4.2119e-01,\n",
       "         3.0754e-02,  2.7939e-01,  2.0139e-03,  1.3524e-01,  1.6094e-01,\n",
       "         2.2270e+00, -1.3410e-01,  2.6203e-01,  8.5261e-02, -6.0383e-02,\n",
       "        -2.3469e-01, -1.8122e-01,  3.6289e-01, -1.0767e-01, -6.9794e-02,\n",
       "        -2.9326e-02,  2.0861e-01, -1.4809e-01, -4.8942e-01,  7.0389e-02,\n",
       "         3.2745e-01, -3.8069e-01,  9.9571e-03,  1.6146e-01, -1.7353e-01],\n",
       "       dtype=float32),\n",
       " \"c'est\": array([ 0.78586 , -0.69391 , -1.7762  ,  0.40043 ,  0.04067 ,  0.6234  ,\n",
       "         0.41277 ,  0.2827  ,  0.35737 ,  0.71408 , -0.066542, -0.044655,\n",
       "        -2.1177  , -0.092491,  0.39515 ,  0.14264 ,  0.019852, -0.20952 ,\n",
       "        -1.5614  ,  0.89751 ,  0.5337  , -1.5627  ,  0.52119 , -1.0023  ,\n",
       "         0.29498 , -1.6892  , -0.16382 ,  0.51186 , -0.086361,  1.0512  ,\n",
       "        -0.67088 , -0.37101 , -2.2342  , -0.25067 ,  0.1093  ,  0.4443  ,\n",
       "        -1.1392  , -0.46519 ,  2.3482  , -0.21527 , -0.38463 , -1.2771  ,\n",
       "        -0.17541 ,  0.85638 , -0.33487 , -0.41486 ,  0.34037 , -0.33775 ,\n",
       "         0.85401 , -0.40341 ,  1.2271  ,  0.78291 , -0.54429 ,  0.57277 ,\n",
       "        -0.13226 , -0.41495 ,  0.62057 ,  0.046534, -0.46761 , -0.62594 ,\n",
       "         0.02894 , -0.033808,  0.43453 ,  0.16568 ,  0.33172 , -0.080104,\n",
       "        -0.14257 ,  0.61639 , -0.95869 , -0.11188 ,  0.54554 ,  0.86266 ,\n",
       "        -0.057581,  0.89416 , -1.8608  , -0.12014 ,  0.25756 ,  0.85138 ,\n",
       "         0.57242 ,  0.73981 , -0.26887 , -0.46108 ,  0.25144 , -0.92026 ,\n",
       "         0.33165 ,  0.21806 , -0.3357  , -0.22087 , -0.16128 , -0.039458,\n",
       "        -0.16519 , -0.12045 , -0.4593  ,  0.24828 ,  0.085223,  0.42115 ,\n",
       "         0.40168 ,  0.26258 , -1.2421  , -0.99484 ], dtype=float32),\n",
       " 'hari': array([-8.7442e-02, -1.4941e-01,  2.3061e-01, -8.3172e-03, -6.3028e-01,\n",
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       "         9.9774e-02, -8.1005e-01, -8.5202e-01,  2.0514e-01, -3.5990e-01,\n",
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       "        -2.0604e-01, -6.1807e-01, -7.0183e-01,  2.9918e-01,  7.0142e-01,\n",
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       "        -4.9967e-01, -9.2391e-01, -1.7729e+00,  1.2969e-01,  2.2738e-02,\n",
       "         4.8161e-01,  1.8476e-01,  5.1158e-01,  4.3095e-01,  1.3232e+00,\n",
       "         2.5752e-01,  6.0579e-01,  2.4822e-01, -3.2810e-01, -3.7095e-01,\n",
       "         9.2004e-01, -6.0399e-02,  2.2730e-01,  8.9296e-01, -8.0392e-01,\n",
       "        -3.6300e-01, -1.8770e-01,  1.5543e-01, -5.8084e-02, -8.0612e-01,\n",
       "         8.6150e-02,  1.7273e-01,  5.4919e-01,  3.7595e-01, -3.5298e-01,\n",
       "         3.3981e-01,  2.3528e-01,  3.4014e-01, -8.8565e-01, -1.0787e+00],\n",
       "       dtype=float32),\n",
       " 'jajajaja': array([ 1.7403e-01,  3.0519e-01, -2.7976e-01,  1.8172e-01, -2.2842e-01,\n",
       "        -2.9129e-01, -3.6445e-01,  6.3729e-01,  3.3029e-02,  7.1048e-02,\n",
       "        -3.3187e-01,  3.1673e-01, -7.5369e-01,  1.5825e-01,  2.3255e-01,\n",
       "        -4.0715e-02,  2.0611e-01, -8.3855e-02, -1.3681e-01,  3.8305e-01,\n",
       "         1.5623e-01,  7.4278e-01,  6.4846e-01, -5.3227e-02, -1.7932e-01,\n",
       "        -4.4269e+00, -4.0767e-01,  2.5828e-02,  4.7227e-01, -7.8156e-01,\n",
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       "        -3.2775e-01, -1.4354e-01,  1.0775e+00,  1.3236e-01,  6.5453e-02,\n",
       "        -7.0708e-01, -2.1037e-02,  4.8507e-01, -1.5497e-01,  5.9930e-01,\n",
       "        -3.6079e-01,  4.7120e-01,  4.9497e-01, -3.3261e-01,  7.4788e-01,\n",
       "        -2.5356e-02, -2.9824e-01,  4.8378e-01,  7.9043e-02,  1.9589e+00,\n",
       "        -2.8376e-01, -8.5876e-01,  4.9511e-01, -3.9946e-01,  1.5512e-01,\n",
       "         3.2163e-01,  4.5125e-01, -1.6602e-01,  1.3911e-01,  1.5847e-03,\n",
       "        -9.5112e-02,  5.6493e-02,  7.7885e-01, -1.4359e-02, -3.5296e-01,\n",
       "         4.9238e-01,  5.8561e-01,  2.2425e-02, -4.7904e-01,  4.9143e-01,\n",
       "        -3.7427e-01, -2.1235e-01, -7.5900e-01, -3.2502e-01, -6.7816e-01,\n",
       "        -1.6409e-02,  2.2420e-01, -2.4770e-01,  4.8683e-01, -4.3141e-01,\n",
       "        -3.3236e-01, -2.5869e-01, -5.3972e-01, -1.1559e-01,  2.7160e-01],\n",
       "       dtype=float32),\n",
       " 'having': array([ 3.2302e-01, -1.3852e-01,  4.1272e-01,  4.0334e-01, -6.0216e-01,\n",
       "        -2.5794e-01, -5.2174e-02,  9.8955e-02, -4.6089e-01, -4.8250e-01,\n",
       "         5.9303e-02, -5.5927e-01, -5.0198e+00, -9.7564e-02, -1.0757e-01,\n",
       "         1.6360e-02, -9.2783e-02, -2.6318e-01, -8.8182e-01,  1.2056e-02,\n",
       "         1.1310e-01,  4.5734e-01, -3.2881e-02, -4.1408e-01,  3.0684e-03,\n",
       "         5.8269e-01,  2.6735e-01, -2.2255e-01,  3.6149e-02, -7.2375e-02,\n",
       "        -1.9318e-01, -1.0422e-01, -3.2177e-01, -5.3466e-01, -1.4604e-01,\n",
       "         3.6852e-01, -3.3863e-01, -6.2580e-01,  2.7021e-01,  1.0853e-01,\n",
       "        -1.9398e-02,  2.7408e-01,  3.5091e-01, -7.0569e-02,  2.9690e-01,\n",
       "        -7.1111e-02,  2.6986e-01,  8.1764e-01, -2.7296e-01, -3.9721e-02,\n",
       "        -1.2663e-02, -3.6700e-01, -1.4742e-01, -2.6615e-01,  5.6689e-01,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -4.3131e-02, -3.0677e-01, -3.7673e-03,  1.2703e-01, -8.3251e-01],\n",
       "       dtype=float32),\n",
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       "         0.41125  ,  0.15131  ,  0.18544  ,  0.021357 ,  0.57684  ],\n",
       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         1.8098e-01, -5.6690e-01,  7.4601e-01,  1.1772e+00,  6.6647e-01],\n",
       "       dtype=float32),\n",
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       "         1.7147e-01,  4.8450e-01, -6.7508e-01, -7.1257e-01,  5.8052e-02,\n",
       "        -7.4912e-02,  2.1440e-01, -1.0129e+00,  7.1122e-01, -1.0680e-01],\n",
       "       dtype=float32),\n",
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       "        -1.0137   , -0.077371 ,  0.41585  , -0.19103  ,  0.016653 ,\n",
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       "        -0.50729  ,  0.6926   ,  0.20216  , -0.037262 ,  0.06897  ],\n",
       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -1.3238e+00,  5.6760e-01, -9.0137e-01,  2.7442e-01,  2.5977e-01,\n",
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       "        -2.2242e-01,  5.2778e-01,  8.2429e-02,  2.5175e-01, -4.2031e-01],\n",
       "       dtype=float32),\n",
       " 'عمل': array([-0.25373  ,  0.15054  , -0.62708  , -0.76857  ,  0.93113  ,\n",
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       "        -1.2913   , -0.95034  ,  0.0061362, -0.22715  ,  0.97642  ,\n",
       "         0.47663  ,  0.252    , -0.99713  ,  0.063892 , -0.054088 ,\n",
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       "        -0.3536   , -0.18897  , -0.19126  ,  0.63129  , -1.0335   ,\n",
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       "        -0.62562  ,  0.92253  , -0.27885  , -0.48376  ,  0.093226 ,\n",
       "         0.45326  ,  0.83815  , -0.24832  , -0.38849  ,  0.022364 ,\n",
       "         0.36374  , -0.51987  ,  0.072231 ,  0.42341  ,  0.5527   ,\n",
       "         0.11592  ,  0.30162  ,  0.21603  ,  0.43343  ,  0.28986  ,\n",
       "         0.3166   , -0.95664  ,  0.10373  ,  1.0933   , -1.2004   ],\n",
       "       dtype=float32),\n",
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       "        -0.12965  ,  0.46967  ,  0.44043  , -0.78063  ,  0.33939  ,\n",
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       "         0.053128 , -0.02516  , -0.1327   , -0.38091  ,  0.58655  ],\n",
       "       dtype=float32),\n",
       " 'told': array([ 6.9219e-01,  6.1199e-01,  1.9580e-02, -1.2831e-01, -7.4620e-01,\n",
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       "        -1.5717e-01, -5.9260e-01, -3.6755e-01,  6.0036e-01,  3.5550e-01],\n",
       "       dtype=float32),\n",
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       "        -6.5911e-01,  4.0941e-01, -1.2767e-01,  4.2255e-01,  6.1021e-02],\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -2.4374e-01, -4.7567e-01,  2.8523e-01,  4.3070e-01, -4.0760e-01,\n",
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       "        -3.9638e-01,  4.1040e-01,  1.6058e-01, -1.2380e+00, -5.3692e-01],\n",
       "       dtype=float32),\n",
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       "        -0.67567 , -0.16812 , -0.70301 , -0.19764 ,  0.82245 ,  0.28608 ,\n",
       "        -0.19065 , -0.3388  ,  0.11074 , -0.78568 ,  0.079393,  0.6209  ,\n",
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       "       dtype=float32),\n",
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       "         0.23547 ,  0.22331 , -0.42006 ,  1.4212  , -0.23119 ,  1.0723  ,\n",
       "        -0.032715, -0.97553 , -0.83705 ,  0.67866 ], dtype=float32),\n",
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       "        -8.7429e-02, -1.4447e-01,  3.0121e-01, -9.2570e-01, -1.0376e-01,\n",
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       "       dtype=float32),\n",
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       "        -7.1898e-02, -4.1343e-01,  9.5811e-02, -4.6587e-01, -2.5526e-01,\n",
       "        -1.0897e-01,  2.2964e-01,  2.0339e-01,  2.4668e-02,  4.0491e-01,\n",
       "        -1.2596e-01, -1.4211e-01,  2.6606e-01, -1.7914e-01,  4.1121e-01,\n",
       "        -9.6176e-02, -5.8584e-01, -1.2034e-01, -3.7151e-01, -2.7517e-01,\n",
       "         1.1337e+00,  4.0878e-01,  7.5150e-01, -2.3519e-01, -1.5961e-02,\n",
       "         2.0100e-02,  3.3767e-02,  4.2211e-01, -2.0591e-01, -4.2311e-01,\n",
       "         3.7811e-01,  5.1500e-01, -4.1191e-01, -1.9917e-01,  5.6274e-01,\n",
       "         5.4858e-01,  6.5193e-01, -4.6760e-02,  3.8136e-02, -5.4351e-02],\n",
       "       dtype=float32),\n",
       " 'km': array([ 0.97561  ,  0.38182  ,  0.40494  , -1.0402   ,  0.92737  ,\n",
       "         0.6949   , -0.47584  ,  0.11214  ,  0.23136  ,  1.0609   ,\n",
       "         0.50408  ,  0.66364  , -1.0977   ,  0.66972  ,  0.36824  ,\n",
       "         0.18698  ,  0.54542  , -0.43694  , -0.47006  ,  0.40786  ,\n",
       "         0.15243  , -0.54072  , -0.93661  ,  0.043083 ,  0.58227  ,\n",
       "        -1.6107   , -0.58992  ,  0.021799 , -0.056458 ,  0.81181  ,\n",
       "         0.48498  ,  0.27664  ,  0.69818  ,  0.833    ,  1.4714   ,\n",
       "        -0.071931 , -0.1731   , -0.48005  ,  0.37165  ,  0.18304  ,\n",
       "        -2.7089   ,  1.1055   , -0.30635  ,  0.2598   , -0.34672  ,\n",
       "         0.1987   , -1.3019   , -0.38609  ,  0.28291  , -0.086417 ,\n",
       "         0.3891   , -0.01705  , -0.13264  , -0.45254  ,  0.11983  ,\n",
       "        -0.49094  , -0.030062 , -1.0134   , -0.057661 , -0.1716   ,\n",
       "        -0.18658  ,  0.0084311, -0.47491  ,  0.055997 ,  0.24772  ,\n",
       "         0.30653  , -1.3632   , -1.1327   ,  0.18102  ,  0.40153  ,\n",
       "         0.0049771,  0.98002  ,  0.18525  , -0.97548  , -0.35043  ,\n",
       "         0.086357 ,  0.22743  ,  0.41162  ,  0.24851  , -1.0134   ,\n",
       "         0.65463  , -0.62331  ,  0.01586  ,  0.086401 , -0.35208  ,\n",
       "        -0.60093  ,  0.3495   ,  0.42355  ,  0.17215  ,  1.1739   ,\n",
       "        -1.1494   , -0.018861 ,  0.020029 ,  0.23835  ,  0.0040994,\n",
       "        -0.90785  , -0.071315 , -0.074864 , -0.20019  , -0.0699   ],\n",
       "       dtype=float32),\n",
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       "         1.9189e-02,  1.4538e+00, -1.8836e+00,  2.4306e-01, -2.1640e-01,\n",
       "         3.5365e-01,  2.9364e-01,  3.4810e-01, -1.3483e+00,  1.2122e-01,\n",
       "        -3.3756e-02, -4.6461e-01,  3.3000e-02,  9.5579e-01,  1.8790e+00,\n",
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       "        -1.2444e+00,  5.1421e-03, -8.7368e-01, -8.4311e-01,  1.2541e+00,\n",
       "        -1.3485e+00, -4.3721e-02,  3.7385e-01,  8.5917e-01, -1.4072e+00,\n",
       "        -2.6252e+00, -1.9962e-01, -7.4025e-04, -3.2118e-02,  2.8391e-01,\n",
       "        -1.6612e-01, -4.2447e-01,  5.9052e-01,  1.7798e-03,  6.8593e-01,\n",
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       "        -1.6020e+00, -8.8057e-01, -8.1126e-02, -1.1898e+00,  1.5695e-01,\n",
       "        -6.5094e-01, -2.8751e-01,  2.7776e-01,  2.8403e-01,  2.6922e-01,\n",
       "         7.3106e-01,  1.3074e+00, -8.3458e-01, -4.1026e-01, -6.2779e-01,\n",
       "        -5.9852e-01, -9.3426e-02,  8.3379e-02,  8.9554e-01, -1.2499e+00,\n",
       "        -3.1682e-01, -1.9517e-01,  1.7183e-01, -3.0690e-01, -2.4893e-01,\n",
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       "        -4.6283e-01, -4.1450e-01, -9.5831e-01, -9.4126e-01,  8.4004e-02,\n",
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       "        -1.5952e-01,  5.4408e-01,  1.3736e+00,  6.7792e-01,  8.2236e-01],\n",
       "       dtype=float32),\n",
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       "         2.9042e-02, -4.0783e-01, -3.9568e+00, -6.3239e-02, -4.4696e-01,\n",
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       "        -7.4354e-01, -1.6277e-02,  5.3218e-03,  1.2896e-01,  4.2397e-01,\n",
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       "        -6.8596e-01,  3.7684e-01,  5.0764e-01, -1.3328e-01,  2.3598e-01,\n",
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       "        -1.1373e-02, -1.5180e-01, -2.3421e-01,  1.2875e-01,  2.2860e-02,\n",
       "         5.9789e-02,  5.0457e-01,  3.2980e-01, -4.9757e-01,  6.1146e-01,\n",
       "        -1.9715e-01, -3.8627e-01, -2.6028e-01,  7.6123e-02,  4.2212e-01,\n",
       "         1.7200e+00,  2.6307e-01, -2.6371e-01,  4.1759e-01,  1.6327e-01,\n",
       "         3.0228e-02, -7.1063e-01,  4.4783e-01,  8.7101e-01, -3.1215e-02,\n",
       "         9.4555e-02,  2.7345e-01, -1.1697e-01,  9.0292e-02, -2.4390e-01,\n",
       "         5.7215e-01, -1.0009e-02, -2.1913e-01,  2.1259e-01, -3.2657e-01],\n",
       "       dtype=float32),\n",
       " '^_^': array([-5.9878e-02,  2.9995e-01, -5.2072e-01,  2.2384e-01, -3.3360e-01,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         0.045159 , -0.71565  ,  2.9414   ,  0.74157  ,  0.038435 ,\n",
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       "        -1.1908   , -0.24145  , -2.32     ,  1.2061   , -0.24123  ],\n",
       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
       " 'st': array([ 0.07631  ,  0.15884  , -0.063982 , -0.52526  ,  0.25126  ,\n",
       "         0.2665   ,  0.28347  ,  0.62892  , -0.76044  ,  0.048027 ,\n",
       "        -0.66295  ,  0.64349  , -3.7158   , -0.10207  ,  0.44826  ,\n",
       "        -0.23666  ,  0.17875  ,  0.35713  , -0.30495  , -0.30502  ,\n",
       "         0.56213  , -0.19405  , -0.072508 , -0.28649  , -0.36263  ,\n",
       "        -0.47818  , -0.26326  , -0.88768  ,  0.36548  ,  0.48358  ,\n",
       "         0.047645 , -0.0079605, -0.33319  ,  0.23153  ,  1.148    ,\n",
       "         0.74922  , -0.28028  , -0.26791  ,  1.0175   , -0.448    ,\n",
       "        -0.90654  , -0.23002  ,  0.04525  , -0.10788  , -0.79174  ,\n",
       "        -0.46209  ,  0.07006  , -0.56289  ,  0.5026   , -0.20707  ,\n",
       "         0.42864  , -0.33468  ,  0.020087 ,  0.43672  ,  0.2338   ,\n",
       "        -0.65287  ,  0.51618  , -0.63248  , -0.33089  , -0.12431  ,\n",
       "        -0.062363 , -0.10796  ,  0.11208  , -0.044276 , -0.24204  ,\n",
       "         0.34831  ,  0.11732  , -0.38659  , -0.71862  , -0.5286   ,\n",
       "         0.20486  , -0.45555  ,  0.66684  ,  0.54543  ,  0.21689  ,\n",
       "         0.38187  ,  0.27623  ,  0.78166  ,  0.47035  , -0.36324  ,\n",
       "         1.5819   , -0.66673  ,  0.57932  ,  0.43549  ,  0.21278  ,\n",
       "        -0.04559  , -0.40276  ,  0.57285  ,  0.7544   ,  0.70402  ,\n",
       "        -0.59438  , -0.11237  , -0.2273   , -0.36786  ,  0.23038  ,\n",
       "         0.43737  , -0.1163   , -0.51237  , -0.61238  , -0.035082 ],\n",
       "       dtype=float32),\n",
       " 'pernah': array([-0.56824 ,  0.17802 ,  0.44227 , -0.67172 , -0.20895 ,  0.4381  ,\n",
       "         0.068895,  0.59892 ,  0.51916 ,  1.6914  ,  1.0178  , -0.18756 ,\n",
       "        -0.70405 ,  0.38382 ,  0.29178 ,  0.95574 , -0.25298 , -0.64218 ,\n",
       "         0.11544 ,  0.67207 ,  0.62007 , -0.48465 , -1.3804  ,  0.92567 ,\n",
       "         0.37143 , -0.80649 ,  0.042931, -0.059662, -0.13032 ,  0.29051 ,\n",
       "         0.074074,  0.030836,  0.7364  ,  0.33918 ,  2.0723  , -0.4217  ,\n",
       "         0.38822 ,  0.3636  ,  0.89526 , -0.12212 , -2.1136  ,  0.19244 ,\n",
       "        -1.0546  ,  0.12617 , -0.40838 , -0.43457 , -1.3187  , -0.22886 ,\n",
       "        -0.38475 , -0.33383 , -0.2173  ,  0.54529 , -0.61125 , -0.72    ,\n",
       "        -0.39359 , -0.74345 , -0.42178 ,  0.59517 ,  0.69459 , -0.77565 ,\n",
       "        -0.37829 , -0.12867 , -0.88688 , -0.9354  , -1.2386  , -0.69362 ,\n",
       "        -1.554   , -1.157   ,  0.30186 ,  1.0194  ,  0.27771 ,  0.47889 ,\n",
       "         0.60744 , -0.97027 ,  0.92578 ,  0.56481 , -0.17073 , -0.040023,\n",
       "        -0.62444 ,  0.40513 ,  0.49748 ,  0.13154 ,  1.0886  ,  1.0545  ,\n",
       "        -0.15839 ,  0.24845 , -0.98672 ,  0.18929 , -0.064518, -0.18008 ,\n",
       "         0.093245, -0.12567 , -0.44574 , -0.57821 ,  0.54694 ,  0.029162,\n",
       "        -0.39514 , -0.1171  , -1.1694  ,  0.10717 ], dtype=float32),\n",
       " 'pessoas': array([ 0.61856  , -0.63185  ,  0.47517  ,  0.34803  , -0.01922  ,\n",
       "         0.38412  , -0.72227  ,  0.030362 , -0.91191  , -0.25347  ,\n",
       "        -0.34296  ,  0.26221  , -0.83449  , -0.59227  , -0.54668  ,\n",
       "         0.15881  , -0.56664  , -1.0528   , -0.0081646, -1.2787   ,\n",
       "        -0.73826  , -0.31652  , -0.48362  , -0.42469  ,  0.5128   ,\n",
       "        -2.443    , -0.40343  ,  1.3934   ,  0.57649  ,  0.91406  ,\n",
       "         0.91484  ,  0.075812 , -0.52259  , -0.78144  , -0.73427  ,\n",
       "        -1.4167   ,  0.57633  , -1.0546   , -1.3926   , -0.082745 ,\n",
       "        -2.5652   ,  0.2382   ,  0.2037   , -0.68179  , -1.5105   ,\n",
       "        -0.073324 , -0.048506 ,  0.27505  , -0.29864  , -1.4611   ,\n",
       "        -0.12299  , -0.0077411,  0.21288  ,  0.71935  , -0.50039  ,\n",
       "         0.85397  , -1.2337   ,  1.7752   , -0.16316  , -0.37999  ,\n",
       "         0.32627  , -0.16232  , -0.062022 ,  0.092532 ,  0.015553 ,\n",
       "         0.39344  ,  0.76957  , -0.045051 , -0.20656  , -0.1526   ,\n",
       "        -0.98588  , -1.3427   ,  0.049291 , -0.24462  , -1.027    ,\n",
       "         0.46638  , -0.83435  ,  0.028088 ,  0.97334  ,  0.57562  ,\n",
       "        -1.3493   ,  0.33775  ,  0.034571 ,  0.91929  ,  1.2318   ,\n",
       "         0.92974  ,  0.25431  ,  0.89114  ,  0.14542  , -0.42979  ,\n",
       "        -0.42006  ,  0.33856  , -0.45001  , -0.26237  ,  0.74751  ,\n",
       "         1.0391   , -0.74548  ,  0.33941  ,  0.6799   ,  0.15315  ],\n",
       "       dtype=float32),\n",
       " 'hello': array([ 0.55793  ,  0.10748  , -0.57491  ,  0.4877   , -0.37792  ,\n",
       "        -0.036457 ,  1.0581   ,  0.059584 , -0.19582  , -0.41366  ,\n",
       "         0.054969 ,  0.10674  , -2.7076   , -0.50818  , -0.47456  ,\n",
       "         0.32746  ,  0.41643  , -0.53607  , -0.24822  , -0.63456  ,\n",
       "        -0.075781 , -1.1904   , -0.72504  ,  0.19499  ,  0.029645 ,\n",
       "        -0.98157  ,  0.27081  ,  0.32472  ,  0.51154  , -0.86702  ,\n",
       "        -0.36342  ,  0.14098  , -0.44251  ,  0.24804  ,  0.14021  ,\n",
       "        -0.042186 ,  0.10408  ,  0.23267  ,  0.26663  ,  0.40316  ,\n",
       "        -0.91011  ,  0.049339 ,  0.14842  ,  0.70496  , -0.013448 ,\n",
       "         0.35591  , -0.23494  , -0.83828  ,  0.0069803,  0.44702  ,\n",
       "        -0.27031  ,  0.0032742,  0.13265  , -0.68583  ,  0.90147  ,\n",
       "         0.60725  , -0.1849   ,  0.086123 , -0.1693   , -0.48741  ,\n",
       "         0.33445  , -0.10119  , -0.054273 , -0.35999  , -0.48967  ,\n",
       "        -0.36699  , -0.91001  , -0.38762  ,  0.14981  ,  0.14092  ,\n",
       "         0.6064   , -0.2507   ,  0.1582   , -0.33841  , -0.025642 ,\n",
       "         0.16793  , -0.045698 ,  0.62762  ,  0.30663  ,  0.25571  ,\n",
       "         1.5495   , -0.40935  ,  0.34489  ,  0.11414  ,  0.11457  ,\n",
       "        -0.31949  , -0.26473  ,  0.2956   ,  0.67942  , -0.19812  ,\n",
       "         0.31416  , -0.37571  , -0.52265  ,  0.042794 , -0.35241  ,\n",
       "        -0.057055 ,  0.27578  ,  0.04565  ,  0.27945  ,  0.11518  ],\n",
       "       dtype=float32),\n",
       " 'uno': array([ 1.1065e-01, -4.0876e-02,  2.5860e-01,  5.1614e-02,  4.1571e-01,\n",
       "         1.7901e-01, -2.1794e-01,  5.6665e-01,  1.8093e-01,  5.5180e-01,\n",
       "         2.2856e-02,  1.2458e-01, -1.6960e+00, -2.9577e-01, -5.5061e-02,\n",
       "        -1.5951e-01,  4.8186e-01,  9.6192e-01,  3.2142e-01,  2.0312e-01,\n",
       "         2.8226e-01,  3.9039e-01,  1.9687e-01, -2.5364e-01, -7.5424e-01,\n",
       "        -4.1427e+00,  9.8609e-02, -7.7374e-01, -4.9376e-01, -4.9522e-01,\n",
       "         2.5662e-01,  1.2204e-01,  4.2823e-01,  8.8691e-01,  2.8407e-01,\n",
       "         3.0260e-01,  1.9733e-02, -2.3918e-01, -6.4838e-01,  6.4442e-01,\n",
       "         8.5457e-02, -3.5984e-01, -8.0077e-01, -6.5714e-02, -5.3193e-01,\n",
       "         1.9699e-01,  3.0787e-01,  5.1361e-01, -5.3997e-01, -1.9623e-01,\n",
       "        -1.9495e-01,  7.8403e-02,  1.2902e-01, -2.3356e-01, -3.9815e-01,\n",
       "         3.7488e-01,  3.1644e-01, -5.0900e-01,  2.9955e-01, -9.3425e-03,\n",
       "        -2.2500e-01,  2.9007e-02, -6.7205e-02,  4.3599e-01,  1.8216e+00,\n",
       "        -7.1710e-01,  2.4493e-03,  4.6819e-01, -3.4290e-01,  2.9352e-01,\n",
       "        -5.3202e-01,  1.6226e-01,  1.9182e-01, -1.9553e-01, -9.4964e-02,\n",
       "        -6.2812e-02, -5.3843e-01,  4.8320e-02,  6.5373e-01,  1.8583e-01,\n",
       "         5.2424e-01,  1.9355e-01,  2.9521e-02, -1.9190e-01,  1.9705e-01,\n",
       "        -3.3964e-02, -5.6949e-01, -2.7397e-01,  5.4242e-01, -1.0338e-01,\n",
       "         5.4509e-01,  1.1473e-01, -3.0739e-01,  4.6616e-01,  1.9965e-01,\n",
       "        -3.1226e-01,  5.4471e-01, -7.4773e-01,  3.0600e-01,  3.7911e-01],\n",
       "       dtype=float32),\n",
       " 'unfollowers': array([ 3.0491e-01, -8.9558e-01, -4.6538e-01,  3.7962e-01,  3.5127e-01,\n",
       "        -1.6826e-01, -6.2114e-01, -1.0863e+00, -8.4791e-01,  1.1674e+00,\n",
       "         1.0379e+00, -7.9340e-01, -1.7863e+00, -4.9659e-01, -8.4577e-01,\n",
       "         3.3161e-01,  8.6668e-01, -1.5625e-01,  2.1659e-01, -6.6040e-01,\n",
       "        -8.0867e-01, -1.6959e+00, -1.4985e+00, -8.5629e-01, -7.9673e-01,\n",
       "        -1.9321e-01, -7.4856e-01, -5.5126e-01,  8.1251e-01,  4.5962e-01,\n",
       "        -3.6135e-01, -2.7069e-01,  2.5045e-01, -3.2262e-01,  3.2060e-01,\n",
       "         1.2640e+00, -2.7178e-01,  7.7896e-01,  2.9853e-03, -2.6751e-01,\n",
       "         3.3167e-01, -6.5951e-01, -3.3537e-01,  8.6685e-01, -1.2243e-01,\n",
       "        -4.3620e-01,  2.1310e-03, -1.2566e-01, -3.4919e-01,  5.2221e-01,\n",
       "         5.7222e-01, -2.2698e-01, -4.4139e-01,  1.0364e-01,  8.9579e-01,\n",
       "         6.3050e-01, -1.4025e+00, -2.8786e-01, -1.4171e+00,  1.1161e+00,\n",
       "         7.8344e-01, -4.4017e-01,  4.4879e-01,  3.8911e-01, -2.7704e-01,\n",
       "         4.9383e-01, -6.1698e-01,  4.7950e-01, -4.7261e-01,  6.9167e-01,\n",
       "         3.8542e-01,  4.2679e-01,  3.1493e-01,  1.8880e-01, -1.1727e+00,\n",
       "        -7.7213e-01, -3.4659e-01, -1.2863e+00, -5.6652e-02, -2.1481e-01,\n",
       "         1.0040e+00, -8.4631e-01,  4.0776e-01,  1.0995e-01,  9.9965e-01,\n",
       "         2.5256e-01, -9.9122e-01, -1.2475e-01,  1.1900e+00, -2.7998e+00,\n",
       "        -1.0345e-01, -4.1064e-01,  2.2845e-01,  1.0137e-01,  6.5657e-01,\n",
       "        -6.1243e-01, -7.7321e-02,  7.3649e-01,  1.3842e+00,  9.9976e-01],\n",
       "       dtype=float32),\n",
       " 'cry': array([-4.3051e-01,  5.6302e-01,  3.8305e-01,  2.3119e-02, -2.5933e-01,\n",
       "        -1.2123e-01,  1.0585e+00,  8.9607e-01,  6.3462e-02,  5.2859e-01,\n",
       "        -9.6208e-02, -3.2799e-01, -4.0242e+00,  2.6344e-01, -7.2984e-01,\n",
       "        -1.7802e-01,  1.9879e-01,  1.4017e-01, -4.5796e-01,  1.7536e-01,\n",
       "        -4.6377e-02, -2.1524e-01,  1.6942e-01,  2.6630e-01,  6.9348e-01,\n",
       "         1.9412e-01,  3.6743e-01, -2.8652e-01, -1.9612e-01, -1.6278e-02,\n",
       "         1.6753e-01, -1.0018e+00, -1.2895e-01,  5.4399e-01, -7.0390e-01,\n",
       "         8.7862e-02,  2.5059e-01, -7.1468e-01, -9.0107e-02,  6.2964e-01,\n",
       "        -6.7528e-01, -3.5369e-01, -2.4635e-02,  6.5044e-02, -3.7053e-01,\n",
       "        -2.6343e-01,  6.2148e-01,  2.2060e-02, -1.6574e-01,  3.4924e-01,\n",
       "        -1.1999e-01,  7.1440e-01,  2.0612e-01, -3.3823e-01,  6.4680e-01,\n",
       "        -1.0250e+00, -2.1367e-01,  7.7382e-01,  4.7368e-01,  8.8313e-01,\n",
       "        -1.1071e-01,  1.6654e-01,  3.8077e-01, -6.2702e-01,  1.8195e-01,\n",
       "        -7.3043e-01, -1.0808e-01,  1.0427e+00, -3.4573e-01,  7.5166e-01,\n",
       "        -1.5693e-01,  2.2720e-01, -3.1350e-01, -7.1740e-01,  3.0659e-01,\n",
       "        -3.3525e-01, -2.2968e-01, -3.6486e-01, -5.0739e-01,  7.5828e-02,\n",
       "         1.0867e+00, -1.8628e-01,  2.4546e-01,  2.5838e-01,  4.3431e-01,\n",
       "         3.9128e-01,  3.8459e-01,  4.6512e-01,  1.8787e-01, -1.8154e-01,\n",
       "         3.1537e-03, -3.7248e-01,  2.9909e-01, -2.0417e-01,  3.5006e-01,\n",
       "        -4.9386e-02, -7.7786e-02, -3.2220e-01,  3.2782e-01,  5.1519e-01],\n",
       "       dtype=float32),\n",
       " ...}"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_coefs(word, *arr):\n",
    "    return word, np.asarray(arr, dtype = \"float32\")\n",
    "\n",
    "\n",
    "embeddings_index = dict(get_coefs(*g.rstrip().rsplit(\" \")) for g in open(glove_twitter))\n",
    "\n",
    "embeddings_index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer.word_index.items()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "embedding = np.stack(embeddings_index.values())\n",
    "\n",
    "embedding_mean, embedding_std = embedding.mean(), embedding.std()\n",
    "\n",
    "embedding_size = embedding.shape[1]\n",
    "\n",
    "word_index = tokenizer.word_index\n",
    "\n",
    "nb_word = min(10000, len(word_index) )\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "embedding_matrix = np.random.normal(embedding_mean, embedding_std, (nb_word, embedding_size) )\n",
    "\n",
    "for word, i in word_index.items():\n",
    "    if i >= 10000:\n",
    "        continue\n",
    "    embedding_vector = embeddings_index.get(word)\n",
    "    if embedding_vector is not None:\n",
    "        embedding_matrix[i] = embedding_vector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lr_reduce = ReduceLROnPlateau(monitor = 'val_accuracy', patience = 2, factor = 0.5, min_lr = 0.00001 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "\n",
    "model.add(Embedding(10000, output_dim=100, weights = [embedding_matrix], input_length=300, trainable = False ))\n",
    "\n",
    "model.add(LSTM(units = 128, return_sequences=True, recurrent_dropout=0.3, dropout = 0.3))\n",
    "\n",
    "model.add(LSTM(units = 64, recurrent_dropout = 0.15,\n",
    "               dropout = 0.15))\n",
    "\n",
    "model.add(Dense(units = 32, activation= 'relu' ))\n",
    "\n",
    "model.add(Dense(1, activation = 'sigmoid' ))\n",
    "\n",
    "model.compile(optimizer=tf.keras.optimizers.Adam(lr = 0.001), loss = 'binary_crossentropy', metrics=['accuracy'] )\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "history = model.fit(train_x, train_y, batch_size=128, validation_data = (test_x, test_y), epochs = 10, \n",
    "                    callbacks = [lr_reduce]\n",
    "                    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "epochs = [i for i in range(10)]\n",
    "\n",
    "fig, ax = plt.subplots(1, 2)\n",
    "\n",
    "train_acc = history.history['accuracy']\n",
    "train_loss = history.history['loss']\n",
    "\n",
    "val_acc = history.history['val_accuracy']\n",
    "val_loss = history.history['val_loss']\n",
    "fig.set_size_inches(20, 10)\n",
    "\n",
    "ax[0].plot(epochs, train_acc, 'go-', label = 'Training Accuracy' )\n",
    "ax[0].plot(epochs, val_acc, 'go-', label = 'Test Accuracy' )\n",
    "ax[0].set_title('Train and Test Accuracy across Epochs')\n",
    "ax[0].legend()\n",
    "ax[0].set_xlabel('Epochs')\n",
    "ax[0].set_ylabel('Accuracy Scores')\n",
    "\n",
    "\n",
    "ax[1].plot(epochs, train_loss, 'go-', label = 'Training Loss' )\n",
    "ax[1].plot(epochs, val_loss, 'go-', label = 'Test Loss' )\n",
    "ax[1].set_title('Train and Test Loss across Epochs')\n",
    "ax[1].legend()\n",
    "ax[1].set_xlabel('Epochs')\n",
    "ax[1].set_ylabel('Losses')\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions = model.predict(test_x)\n",
    "\n",
    "classes_pred = np.argmax(predictions, axis = 1)\n",
    "\n",
    "print(classification_report(test_y, classes_pred))"
   ]
  }
 ],
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